<h3>Job Description</h3>
Job Description
We value the time and privacy of every candidate who applies. To make sure real people dont get lost in the process, we use a structured hiring process that helps qualified applicants receive the attention they deserve. This includes several steps, with an in-person, skill-based interview as the final stage.
Were looking for an experienced Network Engineer to support and improve a large, multi-site technology environment. This person will help design and maintain a reliable network, solve complex issues, and take ownership of projects from planning through implementation.
What You'll Do
<ul>
<li>Design, install, and support enterprise routing, switching, and security solutions</li>
<li>Assist with network architecture updates, capacity planning, and overall infrastructure direction</li>
<li>Troubleshoot connectivity and performance issues across WAN, LAN, wireless, and voice/collaboration systems</li>
<li>Support network-related projects and recommend practical improvements to stability and performance</li>
<li>Create and update documentation, standards, and network diagrams</li>
<li>Work with vendors and internal teams to ensure technical requirements are met</li>
<li>Contribute to disaster recovery planning and general infrastructure resilience</li>
<li>Perform routine and emergency maintenance on network equipment</li>
<li>Participate in an on-call rotation to support critical operations across multiple locations</li>
</ul>
What Were Looking For
<ul>
<li>5+ years of hands-on network engineering experience in a multi-site or large enterprise environment</li>
<li>Solid understanding of routing protocols, QoS, WAN technologies, and overall network design</li>
<li>Experience with modern enterprise networking platforms (SD-WAN, access control, segmentation, etc.)</li>
<li>Familiarity with next-generation firewalls and cloud networking is helpful</li>
<li>Comfortable breaking down complex problems and offering workable solutions</li>
<li>Able to communicate technical information clearly to both technical and non-technical groups</li>
<li>Strong documentation habits and attention to detail</li>
<li>Relevant networking certifications are preferred but not required</li>
</ul>
Who Does Well in This Role
<ul>
<li>Engineers who like organized environments but still appreciate flexibility</li>
<li>People who focus on accuracy and long-term reliability</li>
<li>Individuals who work well in a fast-moving, collaborative setting</li>
</ul>
Compensation
This position offers a salary range of $125,000 to $140,000, depending on experience, certifications, and location. A full benefits package is included.

Network Engineer (Enterprise Infrastructure)

<h3>Job Description</h3>
The Site Reliability Engineer - Incident Response is a critical enterprise-level role responsible for accelerating incident resolution and enhancing the overall incident management process. This individual partners with engineering teams during active incidents to troubleshoot issues using monitoring and logging tools, and post-incident, delivers executive-level summaries that clearly communicate impact, root cause, and resolution. The SRE - Incident Response also plays a key role in analyzing incident response effectiveness and identifying opportunities for systemic improvements. Core Competencies 
<ul>
<li>Engineering/Tooling: Demonstrates the ability to design, build, and maintain engineering solutions and tools that enhance reliability, automate incident response, and reduce operational toil.</li>
<li>Incident Troubleshooting: Skilled in interpreting logs, metrics, and traces to assist in identifying root causes during live incidents.</li>
<li>Monitoring &amp; Observability: Proficient in tools such as Datadog, Splunk, New Relic, or similar platforms.</li>
<li>AI Centric Engineering: Effectively leverages artificial intelligence (AI) and machine learning (ML) tools to automate, optimize, and enhance daily engineering and incident response tasks</li>
<li>Executive Communication: Ability to distill complex technical issues into concise, business-relevant summaries for senior leadership.</li>
<li>Analytical Rigor: Strong attention to detail in validating incident data and identifying trends or gaps in response.</li>
<li>DevOps &amp; Architecture Knowledge: Understanding full-stack systems, CI/CD pipelines, caching, scaling, and cloud-native infrastructure.</li>
<li>Metrics &amp; Reporting: Capable of calculating and interpreting key metrics like MTTA (Mean Time to Acknowledge) and MTTR (Mean Time to Resolve).</li>
</ul>
 Key Responsibilities of This Role Here's how it typically looks when not tied to active on-call: Post-Incident Review Development 
<ul>
<li>Draft and deliver executive summaries post-incident</li>
<li>Develop and coach teams on blameless postmortems.</li>
<li>Create templates, train facilitators, and help guide root cause analysis (e.g., 5 Whys, fishbone diagrams).</li>
<li>Maintain a central library of learnings and cross-cutting themes.</li>
</ul>
 Incident Process Improvement 
<ul>
<li>Actively support engineering teams during incidents by helping diagnose and resolve issues quickly</li>
<li>Navigate and analyze data from observability platforms to make informed inferences about root causes</li>
<li>Analyze the effectiveness of incident response to identify systemic reliability gaps.</li>
<li>Standardize incident response workflows (incident roles, comms, escalation paths).</li>
<li>Create or refine runbooks, incident command frameworks, and severity classification guides.</li>
</ul>
 Metrics and Insights 
<ul>
<li>Build dashboards around incident frequency, MTTR, MTTA, and recurrence rates.</li>
<li>Use incident data to drive reliability of OKRs or engineering investments.</li>
</ul>
 Tooling &amp; AI Solutions 
<ul>
<li>Partner with engineering teams to identify repetitive or high-impact tasks suitable for automation.</li>
<li>Develop, implement, and continuously improve custom scripts, bots, and AI-driven workflows for monitoring, alerting, and incident triage.</li>
<li>Evaluate and integrate emerging AI/ML technologies to optimize detection, root cause analysis, and reporting.</li>
<li>Ensure all tools and automations are secure, maintainable, and aligned with organizational standards and SRE best practices.</li>
<li>Document and socialize new tools and AI solutions, enabling adoption and knowledge sharing across teams.</li>
</ul>
 Cross-Team Collaboration 
<ul>
<li>Collaborate with Engineering Managers and Incident Commanders to gather and validate incident data</li>
<li>Partner with product teams, infra, and leadership to socialize reliability best practices.</li>
<li>Act as a reliability "consultant" to squads that have impactful incidents.</li>
<li>Recommend enhancements to monitoring, alerting, and response processes to reduce future incident impact</li>
</ul>
 USD 99,000.00 - 165,000.00 per year Compensation: Compensation includes a base salary of $99,000.00 - $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Sr. Site Reliability Engineer - Incident Response

<h3>Job Description</h3>
Job Description
Position: Hardware Engineer
Location: Valley Green, PA
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters is located in Nashua, NH and we have design, sales, and manufacturing locations globally. We are currently seeking Product Development Engineers to join our Cable Backplane Business Unit in Valley Green, PA.
High speed cable backplane systems enable most of the world’s IT and datacom; including leading the way for the AI/ML revolution; and require some of the most advanced manufacturing technologies, and highest levels of precision, in the engineering world. These challenges require the most creative, technical minds, and ultimately provide the most rewarding experience for an engineer.
POSITION SUMMARY: 
We are seeking experienced mechanical engineers to join Amphenol Cable Backplane Product Development team. This role will focus on Precision Engineering and serve a pivotal role on the team, blending expert knowledge from electrical and mechanical engineering to develop, design, and maintain the mechanisms on our next generation of high speed cable backplanes. This role will design float mechanisms, cartridges, and similar mechanisms that enable our cabled backplanes to solve our customer’s needs. This role also requires interaction with internal manufacturing sites, external vendors, and all of the other engineering disciplines within the organization. 
A strong candidate should be motivated by technical challenges, know how to be a truly collaborative member of a team, and be willing to wear a number of hats throughout the many phases of a project.
RESPONSIBILITIES: 
<ul>
<li>Understand and adapt to evolving industry needs and product requirements.</li>
<li>Collaborate with NPI and Machine Design teams to ensure efficient, high-volume production of high-quality products.</li>
<li>Work with the Signal Integrity team to support electrical performance requirements through mechanical design.</li>
<li>Ensure mechanical design meets high reliability and quality standards over the product's life, adhering to industry and internal specifications.</li>
<li>Collaborate with software engineers to integrate electronic control systems into mechanical frameworks.</li>
<li>Assist in material selection, including metals, plastics, and surface coatings.</li>
<li>Develop initial product specifications and technical documentation.</li>
<li>Interface with customers during various project phases and support the sales process.</li>
<li>Work with internal and external suppliers on Design for Manufacture (DFM), prototyping, production tooling design, and qualifications.</li>
<li>Provide technical assistance to product marketing and sales teams.</li>
<li>Participate in fixture/tooling design and manage test plans.</li>
<li>Contribute to cost reduction projects, such as alternative material discovery and manufacturing efficiency improvements.</li>
<li>Occasionally present project updates to upper management.</li>
<li>Attend industry trade shows, exhibitions, and conferences as needed.</li>
</ul>
Qualifications: 
<ul>
<li>BS in Mechanical Engineering (MS preferred) or equivalent experience in the electronics industry, with an emphasis on precision engineering preferred.</li>
<li>3+ years of experience in CAD software (Creo).</li>
<li>3+ years of industry experience in design.</li>
<li>Strong analytical and problem-solving skills with a history of collaboration and execution in product design stages.</li>
<li>Good understanding of GD&amp;T methodologies, tolerance analysis, and FEA tools.</li>
<li>Knowledge of copper alloys, high-performance engineering plastics, and experience with CNC milled parts or sheet metal fabrication.</li>
<li>Excellent communication skills with both technical and non-technical stakeholders.</li>
<li>Ability to work effectively in a dynamic team environment.</li>
<li>Strong multitasking and project management abilities.</li>
<li>Willingness to travel approximately 15% domestically and internationally.</li>
</ul>
Amphenol Corporation is proud of our reputation as an excellent employer. Our main focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.
Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin
For additional company information please visit our website at <a href="https://www.amphenol-cs.com/" target="_blank">https://www.amphenol-cs.com/</a>

Hardware Engineer

<h3>Job Description</h3>
Job DescriptionAbout the job
were building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If youre an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, wed love to meet you.
What to Expect
As a Machine Learning Engineer, youll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes.
<ul>
<li>Schedule: Remote and asynchronousset your own hours</li>
<li>Commitment: ~20 hours/week</li>
<li>Duration: Through December 22nd, with potential extension into 2026</li>
</ul>
What Youll Do
<ul>
<li>Draft detailed natural-language plans and code implementations for machine learning tasks</li>
<li>Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments</li>
<li>Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks</li>
</ul>
What Youll Bring
<ul>
<li>Experience: 02 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required)</li>
<li>Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc.</li>
<li>Bonus: Contributor to ML benchmarks</li>
<li>Location: MUST be based in the United States</li>
</ul>
Compensation Terms
<ul>
<li>Rate: $80-$120/hr, depending on region and experience</li>
<li>Payments: Weekly via Stripe Connect</li>
<li>Engagement: Independent contractor</li>
</ul>
How to Apply
<ol>
<li>Submit your resume</li>
<li>Complete the System Design Session ( 30 minutes)</li>
<li>Fill out the Machine Learning Engineer Screen (5 minutes)</li>
</ol>

Machine Learning Engineer -Remote

<h3>Job Description</h3>
Job Purpose: The Cybersecurity Sr Software Engineer helps build automated solutions around our security tools. This individual will help guide the team to contribute to these initiatives with high software quality in mind. They will also guide technical and security engineering discussions within the team, and will be seen as an authority on secure coding, secure infrastructure, and secure design best practices. They will help to imagine and shape the systems and process flows on incorporating security organically into the engineering teams' day to day workflows. This engineer will work with AWS and other cloud technologies as well as a variety of commercial and open source security products and frameworks. While this is an individual contributor role, you'll be involved in many aspects - help evolve our existing architecture, reduce complexity, work with engineering teams to improve operations, and implement and operationalization new security tooling, as needed. Beyond automation of onboarding or usage of our application security tools, we strive for continuous improvement of processes and the integration of best practices. We're looking for someone who has an interest in application security, cloud technologies and a passion to help the organization create secure-by-default world-class software. Key Responsibilities: 
<ul>
<li>Reporting to the Security Engineering Director, serves as a member of the Security Engineering Enablement team</li>
<li>Works with partner engineering teams to create applications and services that align to the Security Engineering's mission and goals to integrate security seamlessly into our dev teams' workflow</li>
<li>Leverages technology (tools, capabilities, processes) to level up software engineering teams' secure coding practices and knowledge</li>
<li>Operationalizes off the shelf application security tools to help engineering teams build, deploy and deliver secure software</li>
<li>Provide situational white glove service to critical business engineering teams</li>
<li>Must be able to help engineering teams fix application security defects using a variety of technology stacks</li>
<li>Promotes incorporation of security processes and practices to make security an organic part of a declarative pipeline model (e.g. CICD practices)</li>
<li>Communicate process and tool automation improvements to the Product Owner, as opportunities and repeating concerns are observed</li>
<li>Helps define the team's tasks and objectives, based on continuing analysis of service requests</li>
<li>Creates automation solutions to support tool administration and operation </li>
<li>Consistently exhibits a positive attitude and desire to help the team to succeed</li>
<li>Design and build monitoring systems for developed automation applications and services</li>
<li>Participate in On-call rotation with the team (once every 3-4 weeks)</li>
<li>Consistently meets or exceeds predefined support and services Service Level Objectives (SLOs)</li>
<li>Executes tasks with minimal supervision</li>
<li>Collaborate with AI agents to build, test, and deploy software across the SDLC, by using proper contextual inputs to improve AI understanding and output quality. </li>
<li>Implement AI-powered features and pipelines in our software</li>
<li>Contribute to prompt engineering experimentation and share tool usage insights. </li>
<li>Define coding standards, review practices, and ethical guidelines for AI use. </li>
<li>Mentor peers and coach junior team members on AI-augmented development.</li>
</ul>
 Essential Skills: 
<ul>
<li>Bachelor's degree in a related discipline and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field</li>
<li>Bachelor's Degree; preferably Computer Science major, Cybersecurity Software Engineering or equivalent experience</li>
<li>Proven and demonstrable experience building software applications with C# and python</li>
<li>Proven and demonstrable experience with front end or JavaScript frameworks such as ReactJS</li>
<li>Experience designing and implementing automated solutions using Cloud native technologies</li>
<li>Strong cloud infrastructure experience in AWS</li>
<li>Solid understanding of DevOps - automated deployments and release orchestration</li>
<li>Solid understanding of containers and microservice architecture</li>
<li>An understanding of the latest cybersecurity best practices, and related security tools such as SAST, SCA, DAST</li>
<li>Excellent communication, interpersonal and teamwork skills</li>
<li>Strong analytical and problem-solving skills</li>
<li>Excellent attention to detail</li>
<li>Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.</li>
</ul>
 Desirable Skills: 
<ul>
<li>Masters in Computer Science, Cybersecurity or equivalent experience</li>
<li>Familiarity with Infrastructure as Code technology such as Terraform</li>
<li>An understanding of deployment methodologies like Blue/Green, Canary, etc.</li>
<li>Familiarity with various Cloud monitoring tools (Cloudwatch, New Relic, Splunk)</li>
<li>Familiarity with networking and network security</li>
<li>Experience with scalable networking technologies and architecture</li>
<li>Familiarity with standard IT security practices such as encryption, certificates, and key management </li>
<li>Working knowledge of infrastructure technologies such as OS (Linux and Windows), Network, Database, Server, Storage etc.</li>
<li>Comfortable with build and deploy tools</li>
<li>Experience managing, building, debugging and deploying Docker containers and microservice architecture</li>
<li>Experience with GenAI and Agentic architecture</li>
</ul>
 USD 99,000.00 - 165,000.00 per year Compensation: Compensation includes a base salary of $99,000.00 - $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Cybersecurity Sr Software Engineer

<h3>Job Description</h3>
As a Software Engineering Manager, you will be responsible for leading, growing, and developing a team of innovative Software Engineers in designing, implementing, and delivering high-quality software products. To be successful in this role, you must be able to lead effectively in a fluid, fast-paced agile environment. This position requires strong technical, design, communication, and collaboration skills. We have aggressive goals over the next couple of years and are looking for candidates with a passion for solving large scale problems and a can-do attitude! Your role: 
<ul>
<li>Provide leadership and oversight to the Software Engineering group. </li>
<li>Oversee team efforts to apply the principles of secure software engineering to the design, development, maintenance, testing and evaluation of software and cloud infrastructure. </li>
<li>Engage with cross-functional leadership to understand business requirements, architecture and technology direction and evaluate alternative approaches, ensuring software and systems are designed accordingly.</li>
<li>Incorporate state-of-the-art concepts and practices to facilitate system functionality, scalability, resilience and security, as well as ease-of-use (developer / user experience).</li>
<li>Ensure appropriate application of agile principles to software development with a focus on delivery of business value, collaboration and continuous improvement. </li>
<li>Oversees Software Engineering processes and teams.</li>
<li>Provides direction and oversight in the planning and delivery of product / solution releases. </li>
<li>Ensures delivery of secure, high quality, well tested and scalable software to meet requirements of the customer and business.</li>
<li>Assists with maintenance and prioritization of the product backlog.</li>
<li>Engages with customers, end users and business partners to understand issues with software development and deployment.</li>
<li>Ensures issues are resolved in a timely and sustainable fashion.</li>
<li>Advocates secure coding practices and testing requirements.</li>
<li>Must be able to influence other software and IT managers to design and build solutions that meet our needs.</li>
<li>Manage career progression for team members, including hiring, performance reviews, salary decisions, mentoring, coaching, and all duties normally associated with a hiring manager.</li>
<li>Represent your team in strategy and planning meetings.</li>
<li>Work with your team to plan, design, implement and operationalize innovations and improvements to existing programs.</li>
<li>Work with your team to continually improve their processes and develop best practices for agile development that delivers value to our stakeholders.</li>
<li>Respond quickly and effectively to production issues and taking responsibility for seeing those issues through resolution.</li>
<li>Stay current with changes in the technical area of expertise.</li>
<li>Share knowledge by effectively documenting plans, decisions, and task ownership.</li>
</ul>
 Qualifications: 
<ul>
<li>Demonstrate experience executing Agile methods for software product development. </li>
<li>Looking for developers with hands-on experience in C# or similar programming languages and a willingness to adapt to new technologies.</li>
<li>Very strong business analysis, system analysis, or product analysis skills.</li>
<li>Ability to work well in a team-oriented environment.</li>
<li>Excellent planning and prioritization skills with the ability to multitask and adapt to change.</li>
<li>Very strong business analysis, system analysis or product analysis skills.</li>
<li>Planning and prioritization skills with he ability to multitask and adapt to change.</li>
<li>Bachelor's degree in a related discipline and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year experience in a related field; or 18 years' experience in a related field.</li>
</ul>
 USD 119,600.00 - 199,400.00 per year Compensation: Compensation includes a base salary of $119,600.00 - $199,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

Manager, Software Engineering

<h3>Job Description</h3>
Outlier is a platform owned and operated by Scale AI and believes AI can only perform as well as the data it’s trained on. That’s why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders.
\n
We’ve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.
\nWhat you will be doing\n
<ul>\n
<li>Create a grading rubric on what a good answer would be.</li>
\n
<li>Write the correct answer that scores 100% on the rubric.</li>
\n
<li>Provide clear, constructive feedback to improve AI-generated responses.</li>
\n</ul>
\nWhat we’re looking for\n
<ul>\n
<li>PhD or Master's Degree in Finance or a related field. Can be currently enrolled.</li>
\n
<li>Deep subject matter expertise with the ability to create complex, graduate-level problems that challenge AI reasoning.</li>
\n
<li>Strong analytical and problem-solving skills, with experience in crafting rigorous, high-quality questions and solutions.</li>
\n
<li>Attention to detail to accurately assess AI capabilities and evaluate peer submissions.</li>
\n
<li>Fluency/High proficiency in English.</li>
\n</ul>
\n

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