All active Solutions Engineer roles based in Connecticut.
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Senior Sales Engineer to join our team located in New England. This role will report to the Sales Engineering Manager for the Americas Field Sales team.
You will be responsible for architecting technical solutions that directly address and resolve critical customer pain points.
What you’ll do (Role Expectations)
Who You Are (Success Profile)
What We’re Looking for (Minimum Qualifications)
What Will Make You Stand Out (Preferred Qualifications)
#LI-remote
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Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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Expert Solutions Architect
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:
Honesty, Reliability, Curiosity, Collaboration, and Passion.
About the role and what you'll be doing:
We are seeking an experienced Solution Architect with deep expertise in AWS, Nutanix on AWS (NC2), and enterprise security and observability Solutions to design, build, and modernize scalable, secure cloud and hybrid Solutions.
This role plays a critical part in migrating workloads from on‑premises data centers to AWS, enabling standardized cloud Solutions, and integrating automation, security, and monitoring capabilities. You will partner with infrastructure, application, security, and operations teams to deliver resilient, compliant, and cost‑optimized solutions at enterprise scale.
We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.
Key Responsibilities
Solution Architecture & Design
Cloud Migration (On‑Premises to AWS)
AWS & Nutanix (NC2) Engineering
Automation, Configuration & CI/CD
Security, Identity & Access Management
Observability, Logging & Operations
Governance, Risk & Compliance
Collaboration & Technical Leadership
Required Skills & Experience
Preferred Qualifications
Why Ensono?
Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.
We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices.
Some of our benefits include:
As of the date of this posting, a good faith estimate of the current pay scale for this role is $151,000 to $204,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.
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Apply to Ensono
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Wilson Elser is a leading defense litigation law firm with more than 1400 attorneys in 46 offices throughout the United States. Founded in 1978, we rank among the top 100 law firms identified by The American Lawyer and 36 in the National Law Journal’s survey of the nation’s largest law firms.
Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Data Analyst position in our Stamford, CT Office.
This position offers a flexible, hybrid working arrangement.
The Position
This hands-on Data Analyst position will reside within the Firm’s Business Solutions & Innovations department, where 20+ years of legacy technology and business processes are undergoing a complex and strategic overhaul, focused on efficiency, sustainability and providing a competitive industry advantage.
Key Responsibilities:
Qualifications
A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Why Should You Apply?
Ready to apply?
Apply to Wilson Elser - Business & Legal ProfessionalsAbout Us
Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More
About The Role
Job Title: Senior Software Engineer, Cloud
Location: Guilford, Connecticut
This role is for talented Software Engineers with applied experience in building modern cloud services and web applications. The goal of this role is to design and develop key software systems for remote setup, management, and monitoring of our fleet of devices and ingestion, storage, visualization, and retrieval of data at a large scale. This engineer will work closely with other software engineers, product managers, UI/UX designers, and subject matter experts across the organization to implement solutions for a wide range of challenging clinical problems in MRI aimed at improving patient outcomes. Across the organization they will make a significant contribution to the company’s overall vision of developing cloud services with a delightful look and feel.
Key Responsibilities:
Knowledge, Skill & Abilities:
Education & Experience:
Physical Demands:
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.
The annual base salary for this position is between $143,500 - $165,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.
Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.
Ready to apply?
Apply to Hyperfine
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