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Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Solving 500 Leetcode Problems alone does not get Job Offers! Get Job Offers with a Process which works! You've done a ton of Leetcode. You've racked up certificates, done LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirements change every day. Companies are looking for Employees who can contribute on Projects from Day 1. So what is needed is the right tech stack and the right project work. Companies have options and as a Jobseeker you can have options also if you have the right tech stack and Project work Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. All visa types and U.S. citizens are encouraged to apply. Check the links below: please check the below links Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. Please check the below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact: The Market's Changed-Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Own and optimize enterprise cloud data platforms from design to production This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $150,000 - $190,000 per year A bit about us: We're a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we've become a 6x Snowflake Partner of the Year () and earned accolades as an award-winning workplace in the US, LATAM, and India. We're a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You'll work alongside some of the brightest minds in data engineering and AI/ML - all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $150,000 - $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments. Key responsibilities include: Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure Leading data migrations and integrations for cloud data warehouses and data lakes Managing and optimizing platform performance through monitoring, automation, and tuning Implementing security, governance, and access controls aligned with industry standards Building and maintaining infrastructure using infrastructure-as-code and CI/CD practices Writing, debugging, and optimizing complex SQL queries Working directly with client stakeholders to gather requirements and present solutions Producing technical documentation including system designs, roadmaps, and operational plans Serving as a technical lead for ongoing managed services engagements Mentoring engineers and supporting cross-functional delivery teams Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Failing Interviews/No Interviews or no Offers Isn't for a Lack of Experience. It's for the Lack of a relevant Updated Tech stack! Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients. Role Overview We are seeking a Data Scientist to support forecasting and demand planning initiatives , including volume and contact center forecasting . This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision making. You will work closely with cross functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes. Key Responsibilities: Analyze large, complex datasets to improve forecasting accuracy and operational planning Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting Apply time series forecasting, predictive modeling, and scenario planning techniques to anticipate demand Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience Create and present clear data visualizations and insights for technical and non technical audiences Communicate forecasting results and recommendations to internal teams and occasional external partners Support optimization of staffing and workforce planning models with guidance from senior team members Priority will be given to candidates who reside in the Columbus, OH metropolitan area We are unable to provide sponsorship for work authorization for this role, presently or in the future. Minimum Requirements Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or equivalent experience 4+ years of experience applying advanced analytics to solve business problems Critical Skills & Experience Strong experience (4+ years) with forecasting and statistical modeling , including time series analysis Proficiency (4+ years) in Python (required) and experience with R Advanced (4+ years) SQL and experience working with large datasets Hands on experience (4+ years) with data modeling, statistics, and applied mathematics 4+ years' Experience using Databricks, Snowflake, or similar cloud based data platforms Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues Experience creating analytics driven visualizations and presenting insights clearly Comfortable working with moderate autonomy in a collaborative, cross functional environment Preferred / Nice to Have Experience with contact center analytics , workforce management, or operational forecasting Background in healthcare, pharmaceutical, biopharma, or insurance environments Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees Familiarity with Azure , automation, version control, or model deployment workflows Strong communication, presentation, and stakeholder management skills Intellectual curiosity, comfort with ambiguity, and desire to continuously learn Additional Information Must be authorized to work in the U.S. (no sponsorship available) Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $108,800 - $181,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

"Ghosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offers" - Get Hired with a Process which Works ! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring - they're just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer ready candidates get through. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill , and Colleges don't teach it. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer . Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers . The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI , because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume. Work with java based application Perform application development for custom applications Designing and developing for enterprise class application using java technologies Enhancing existing java web applications Integrate application business layer with external application components Provide production support web applications Implement innovative web/software development technologies Using a variety of java based technologies Augment the application development team Manage the application development team Develop mobile applications and application interfaces Do analysis, design and hands on java development Develop software applications in client/server environment and/or web deployed applications Understand application requirements and develop software solutions Conduct testing on other developer's code Supporting an enterprise business application Develop web services components for cross-application solutions Implement complex web and database applications Develop and maintain web applications using C, (WPF, MVC, WCF, ASP) Develop components of multitier web application

Job Search Feeling Like Guesswork? Applied to 200+ Jobs and Still No Interviews? Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring - they're just being more selective. That means only the most prepared, polished, and employer ready candidates get through.If you've sent out hundreds-maybe thousands-of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper , sound confident in interviews , and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers . Since 2010 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair , and many more-often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove . Here's the truth employers hire based on whether you can handle real work-clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us You don't need more random applications. You need a job-ready plan. Start smarter-start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume. A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats , jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps , people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension , and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us

Failing Interviews/No Interviews or no Offers Isn't for a Lack of Experience. It's for the Lack of a relevant Updated Tech stack! Rejections can be discouraging, but they don't reflect your true potential - they reflect your preparation. Employers want hands on experience, real projects, and interview ready candidates. SynergisticIT fills the gap between classroom learning and real world hiring expectations. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010 , SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America , and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers . The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI . Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume. Resolve hardware, software and network problems Provide hardware / software technical support Providing software and hardware support to end users Provide technical hardware, software and network support to end users Assist in troubleshooting software application issues Provide technical support for both hardware and software issues users Perform software and hardware demos Maintaining inventory of hardware/software in the computer Troubleshoot all support issues for the company (hardware/software/network) Develop applications software and systems Inquire regarding computer software or hardware operations to resolve problems Supporting maintenance of system software and hardware components Determine computer problems and to coordinate hardware and/or software solutions Configure and upgrade computer hardware / software Plan software releases in accordance with other software applications Provide system level support to all personnel for all company computer software Provide user orientation on hardware, software and network operations Perform first-line troubleshooting on various hardware and software Provide user PC hardware/software phone support Provide computer support services both for hardware and software through company help desk system