We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Who We Are: 

Boston-based company Piaggio Fast Forward Inc. (PFF) was founded in 2015 by the Piaggio Group (the Italian manufacturer that created the iconic Vespa scooter). We are on a mission to build technology products that move the way that people move. In order to bring products to market today, PFF is solving the problem of robotic interaction with people in dynamically changing environments. We’re innovators, neighbors and creators with a passion for local living and pushing the limits on urban and business transportation . We support a sustainable mobility ecology with healthy lifestyles, social connectivity and productive work environments available to all, regardless of age or abilities.

The Role: 

We are hiring an Embedded Engineer to join our multidisciplinary engineering team. The ideal candidate is an experienced engineer who is not only a strong team player but can also mentor colleagues. To support collaboration and team engagement, this role is performed on-site at our Boston office. The Embedded Engineer will have the opportunity to collaborate across teams while maintaining our embedded platform services. You will have a major impact on PFF’s embedded consumer products.  This is an individual contributor role reporting to the VP, Software Engineering. 

What You'll Do: 

• Develop the embedded firmware platform for current and next generation of PFF products for high throughput embedded processing.
• You will be responsible for applying solid software engineering design patterns and best practices needed to evolve and expand the core codebase to deliver new ideas and technical innovations into products that continue to delight our customers and set the satisfaction bar higher
• Design, develop and refactor real-time software architectures and modular software components
• Collaborate with multidisciplinary teams to define, design, test and maintain embedded platform’s services.
• Mentor and coach colleagues to expand the effectiveness of those around you.
• Assure a high standard of quality in your own work and in the work of others on your team via good coding practices, process improvements, clean designs, smart testing and review practices.

What You Bring: 

• Bachelor Degree in CS, related or equivalent experience
• 5+ years real-time embedded software engineering experience in a multi-threaded Linux environment
• Deep Proficiency in C and C++ programming for a Linux runtime environment
• Experience developing embedded devices with a RTOS such as FreeRTOS a plus
• Solid understanding about ARM specification, computer architecture, operating system
• Experience in boot code, device drivers, CPU & SOC initialization 
• Able to read and write scripts in common languages, Bash, Python, etc
• Knowledge of Bluetooth and Wi-Fi radio communication protocols
• Experience with embedded peripherals such as Ethernet, I2C, I2S, SPI, and USB
• Excellent verbal and written communications skills
• Experience in troubleshooting hardware using Oscilloscope, Logic Analyzer.
• Proficient in the use of common source code control and defect tracking systems (Jira & Git)
• Strong ability to work within team structure, planning and deliverables. architecture 

We are seeking an experienced and strategic Principal Security Architect to lead the design, implementation, and oversight of enterprise-class network and cloud security across our global infrastructure. This role blends deep technical expertise with strategic leadership and focuses on securing our on-premises data centers, public cloud platforms, and enterprise network edge using best-in-class tools like Palo Alto and Cisco.

This is a hands-on leadership role that influences global security architecture, mentors’ engineers, and collaborates with cross-functional teams to protect our digital assets at scale.

Key Responsibilities

Security Architecture & Engineering

• Lead the design and evolution of security controls across hybrid cloud and on-prem environments.
• Architect and implement network segmentation, next-gen firewall policies, and zero-trust access models.
• Define secure connectivity strategies across WAN, remote access, data centers, and cloud networks.

Technology Ownership

• Serve as SME for Palo Alto Networks firewalls, Prisma Access, and Panorama.
• Lead security configuration, lifecycle management, and policy enforcement on Cisco security platforms (ASA, ISE, Firepower, Umbrella).
• Harden security for multi-cloud platforms (AWS, Azure, GCP) including IAM, VPCs, firewalls, and API security.

Operations & Response

• Lead threat detection and response for network and infrastructure incidents.
• Collaborate with SOC, GRC, and infrastructure teams to close security gaps and maintain compliance.
• Continuously improve security monitoring, alerting, and forensics capabilities.

Security Automation & Tooling

• Integrate security into CI/CD pipelines and infrastructure provisioning via Terraform, Ansible, or Python.
• Automate security posture checks and drift detection in public cloud and data center environments.
• Work with vulnerability management platforms and integrate findings into remediation workflows.

Governance, Risk & Compliance

• Define security baselines and configuration standards for networking and infrastructure teams.
• Ensure compliance with frameworks such as ISO 27001, NIST, CIS, and industry-specific requirements.
• Participate in audits, risk assessments, and security reviews for new technologies and vendors.

Required Qualifications

• 10+ years of experience in infrastructure or network security, with 3+ years in a principal or lead role.
• Deep expertise in Palo Alto Networks products and Cisco security platforms.
• Strong understanding of cloud security architecture and native security tools in AWS, Azure, and/or GCP.
• Experience securing on-premise and hybrid data centers, including virtualization and SDN technologies.
• Proven experience designing and enforcing enterprise security policies across global networks.
• Solid knowledge of routing/switching protocols (BGP, OSPF), VPNs, DNS security, and NAC.
• Familiarity with SIEM, NDR, and EDR tools for detection and response.
• Scripting/automation proficiency (Python, Bash, PowerShell, or IaC tools).

Preferred Qualifications

• Certifications such as PCNSE, CISSP, CCNP Security, AWS/Azure Security Specialty.
• Experience with identity federation (SAML, OAuth), secrets management, and PKI.
• Background in segmentation frameworks (e.g., SCADA/ICS, OT security), or data loss prevention (DLP).
• Experience in DevSecOps or cloud-native security tooling.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

ABOUT THE JOB

We are seeking a hardcore Systems Engineering, Integration, and Test (SEIT) Engineer to own the execution and reality-check of our true System of Systems (SoS) architecture. If our “Left-Side” Systems Engineers are the architects, you are the Chief Engineer of Reality. You own the entire Systems V for a given problem set, but your anchor is firmly planted on the "Right Side." You are not a compliance checker, a QA tester, or someone who lives entirely in spreadsheets or JAMA. You are the forcing function that brings disjointed software, hardware, and autonomy subsystems together into a singular, field-ready, system of systems capability.

Your mission is to build a "steel thread" for any given capability, the fastest path to getting a baseline, end-to-end system working in the real world, ensure it is validated for the customer’s use case, and then relentlessly iterate to make it robust. You will partner tightly with TPMs, Software Engineers (SWEs), and "Left-Side" SEs to take paper architectures and smash them into rigorous mathematical and physical reality. When the software team blames the hardware team, you are the one who steps into the SITL/HITL lab or the field, parses the logs, puts a scope on the wire, diagnoses the root cause, and drives the solution. If you thrive in high-velocity, hardware-rich environments where the ultimate metric is "execution," this is the job for you.

WHAT YOU’LL DO

• Lead the hands-on integration of complex, heterogenous hardware (legacy platforms, 3rd-party sensors, and internal products) and software. Prove the baseline end-to-end data flow first, then scale the complexity.
• You are the ultimate technical authority for Verification, Validation (V&V), and fielding. You will translate Systems Readiness Reviews (SRRs) into Systems Requirements Documents (SRDs) and SRDs into aggressive, real-world campaigns.
• Take Interface Control Documents (ICDs) and prove them on the bench and in the water. When a third-party "black box" doesn't play nice with our network, you are the primary investigator debugging the physical, electrical, and data boundaries.
• Act as the lead anomaly hunter. Conduct multidisciplinary triage across mechanical, electrical, software, and network domains during integration and field testing.
• Partner directly with TPMs (who own schedule) to balance technical risk and resource allocation. Feed ruthless, data-driven feedback loops back to the SWEs and Left-Side SEs to drive immediate product improvements.
• Own the execution of critical downstream milestones. You will write the test plans, build the Hardware-in-the-Loop (HITL) rigs, and lead the execution for readiness reviews and acceptance tests.
• Travel to the field and customer sites to lead complex operational deployments, ensuring the system transitions smoothly from R&D to operational dominance and customer success.
• Ability to travel as required for program support, proposal support, and stakeholder meetings.

REQUIRED QUALIFICATIONS

• 8+ years of rigorous Systems Engineering, Integration, and Test experience, with a heavy emphasis on the Right Side of the V (subsystem integration, HITL/SITL testing, V&V, and field execution).
• A proven track record of taking complex, multi-domain systems from the lab bench to operational environments at a breakneck pace. You must know how to make disparate systems talk.
• "Hands-on" DNA. You are as comfortable reading a Python script or parsing a JSON payload as you are debugging a serial connection or analyzing network traffic (Wireshark, TCP/IP, UDP).
• Demonstrated experience acting as the technical "glue" between highly specialized software, electrical, and mechanical engineering teams.
• Experience running formal customer sell-off milestones (FAT, SAT) and fielding products in unforgiving environments.
• Ability to travel 20% with potential surges above 20%
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Experience operating, integrating, and troubleshooting complex systems in a maritime or subsea environment (acoustic sensors, underwater navigation, comms relays), but Maritime domain experience is not required.
• Proficiency in scripting and data analysis tools (Python, bash, MATLAB) to rapidly parse logs, automate test rigs, and visualize system performance in the field.
• Familiarity with Linux operating systems, RTOSes, and edge-compute architectures.
• Familiarity with building and utilizing Hardware-in-the-Loop (HITL) and Software-in-the-Loop (SITL) test infrastructures.
• Experience with subsea operational procedures, launch and recovery systems (LARS), and offshore test execution.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a remote role

JR: 2026-7565

#LI-Remote

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a remote role

JR: 2026-7651

#LI-Remote

Location: Waltham, MA (hybrid- 3 days In-Office)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.
Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in
We are looking for a talented Software Engineer to lead our Platform Engineering presence in the US. As the primary technical anchor for the Platform Engineering group in the US, you will serve as the "face" of the group for our local teams, bridging the gap between global infrastructure initiatives and the specific needs of our US-based engineers.

As part of this leadership capacity, you will take a key part in shaping our strategy we are currently embarking on: Building an Agentic (AI-based) Software Development Life Cycle. We want to move beyond simple automation to a future where AI agents assist in each and every step of the SDLC, including designing, coding, testing, and deploying our services. To achieve this, you will apply your deep coding expertise to the world of Platform Engineering and Infrastructure, ensuring our US teams are at the forefront of this AI-driven evolution.
In addition, our Platform Engineering Group is the architect and owner of NEXT’s cloud-only infrastructure at Next Insurance. You’ll leverage your expertise to treat our platform as a product, working across the full spectrum of Cloud and Applicative infrastructure.
Using a wide variety of advanced technologies and tools, programming languages and cloud services, you will help us understand the challenges that our platform needs to resolve, then plan and execute projects that will improve the developers day to day and help them innovate and bring value to the business.

What You’ll Do: 

• Shape the Future of SDLC: Take a key leadership role in building our Agentic (AI-based) Software Development Life Cycle, moving beyond automation to a world where AI agents assist in designing, coding, testing, and deploying.
• Bridge Coding & Infrastructure: Apply your deep coding expertise to the world of Platform Engineering, ensuring our IL-based teams are at the forefront of the AI-driven evolution.
• Platform as a Product: Act as the architect and owner of our cloud-only infrastructure, treating the platform as a core product that serves the entire engineering organization.
• Full-Spectrum Engineering: Work across the full spectrum of cloud and applicative infrastructure to solve complex challenges using a wide variety of advanced technologies and cloud services.
• Empower Developers: Identify friction points in the developer experience, then plan and execute strategic projects that improve the day-to-day workflow of our R&D teams.
• Drive Business Value: Partner with the business to understand their needs, ensuring our platform enables fast-paced innovation and delivers tangible value through engineering excellence.

What We Need: 

• At least 6 years of experience as a Software Developer in a fast-paced cloud oriented organization.
• B.Sc. in Computer Science or equivalent
• Proven record of initiating, designing, implementing and leading meaningful projects
• A solid experience with at least one of the following languages: Java / Kotlin / JS / TS / bash / Python
• Experience with improving development processes and developer experience in general
• Must be a people person, accessible, be a proficient problem solver, which quickly adapt to new technologies
• A self-driven engineer with a deep curiosity to research and master AI technologies
• Understanding in CI/CD methodologies with a hands-on development experience of Jenkins pipelines - a major advantage
• Solid orientation to Cloud/Infrastructure-As-Code concepts - a major advantage.
• Understanding in Kubernetes & Containers - a major advantage
• Knowledge in build tools, e.g. Maven/Gradle/npm/nx  - an advantage
• Familiarity with software test methodologies and tools  - an advantage
• Familiarity with observability tools - monitoring, logging, tracing - a major advantage
• Experience with Internal Developer Portal/Platform and self serve tools (e.g. Backstage) - a major advantage

About the team:

Klaviyo’s global corporate Information Technology (IT) team is responsible for providing technology systems, administration, and support to Klaviyos around the world. Our main goal is to ensure that Klaviyos everywhere have a strong technology foundation to do great work. The IT Team solves problems using technology and provides Klaviyo’s continued scalability and sustainable employee growth in a rapidly evolving environment.

The IT Systems team is primarily responsible for SaaS systems administration and end-to-end lifecycle management, building automation, and engineering solutions for both other internal teams and the business. The IT Systems team is highly collaborative, working closely with the IT Searchbar team — our end-user support team — as well as with our Security, Risk, and Trust teams and the broader Engineering department. 

About the role:

As a Lead IT Systems Engineer on the IT Systems team, you will lead the design, implementation, and maintenance of our enterprise SaaS systems. You will spearhead projects that range from SSO/SCIM implementations to complex multi-tool integrations and automations, with a focus on scalability and efficiency. You'll collaborate closely with operations, engineering, and the IT Searchbar team to ensure seamless system performance and act as a technical escalation point for system-related issues. 

How you’ll have an impact

• You’ll mentor team members to grow and develop in their careers and help increase their scope and impact throughout their tenure at Klaviyo. 
• Both give and receive meaningful feedback focusing on empathy, curiosity, and investment in growth.
• Establish team standards, implement frameworks for intake and prioritization of projects and tasks, and establish and monitor objectives and key results (OKRs).
• Partner with the stakeholders to build, maintain, and improve tooling/infrastructure and documentation that helps meet the business needs for today and the future.
• Collaborate with IT and internal teams to automate and improve workflows, implement and enhance escalation processes, and drive IT initiatives.
• Implement new processes, and evaluate and improve existing processes.

Must-Haves (Non-Negotiables):

• A minimum of five years' experience in systems engineering within fast-paced and result-driven environments.
• Proven track record of defining problem statements, managing technical projects, collaborating with stakeholders, and delivering impactful results.
• Extensive experience in Identity Access Management (IAM), including IdP configuration, management, and maintenance (Okta or Azure experience is preferred).
• Strong experience working with enterprise-scale networking topics, including routing, DNS, and building and maintaining multiple global office networks and VPNs.
• Demonstrated proficiency in understanding and integrating Large Language Models (LLMs) or other AI technologies into enterprise systems for automation or process improvement.
• Deep technical knowledge in at least one additional domain: corporate security, endpoint management (Jamf, Intune, or equivalent), cloud infrastructure (GCP, AWS, or Azure), or enterprise SaaS administration(Atlassian,Google Workspace,etc).
• Strong experience in automating workflows and repetitive tasks using scripting (Bash, Powershell, or Python). Python is preferred, and AWS Lambda function experience is a plus. Familiarity with infrastructure-as-code tools (Terraform or Ansible) is a bonus.
• Knowledgeable in vendor management and IT budget management.
• Participation in an after-hours on-call rotation with the IT Systems team is required for site specific or business blocking issues.

Nice-to-Haves:

• IAM & Automation: Design and implement automated security, specializing in Okta Workflows (or similar) for user lifecycle and access/auditing.
• Systems Engineering (High-Growth): Experienced in managing/scaling critical infrastructure in agile, fast-paced SaaS/tech environments; champions security and scalability.
• API Integration: Build custom tools and leverage APIs (RESTful, OAuth 2.0/OpenID Connect) for secure, automated integration of corporate systems.
• Cloud Security (AWS/GCP): Deep, hands-on experience securing and managing AWS and GCP core infrastructure, including:
• Networking/Compute: VPC, EC2, Security Groups/Firewalls, ACLs.
• IAM: Defining and managing least-privilege roles (user, group, service).

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role overview

The DevX Pipelines & Automation team is hiring a Principal Software Engineer. The team plays a crucial role in enabling faster time-to-market while maintaining high quality. This position involves contributing to the continuous modernization of the platform, with a focus on self-service pipelines and ephemeral environments. The ideal candidate is passionate about Continuous Delivery and platform development, with a strong background in supporting complex software systems and an eagerness to drive efficiency in software delivery processes.

What you'll do

• Develop and enhance CarGurus' Pipeline-as-a-Service utilizing Go and Java.
• Expand the development environment infrastructure to provide ephemeral, hermetic environments.
• Scale the production CI/CD infrastructure to accommodate future demands.
• Manage and enforce governance strategies that promote environmental parity across services and artifacts and ensure high quality.

What you'll bring

• 8+ years of experience as a professional Software Engineer, including 3+ years serving as a technical lead or principal engineer working with Golang, Java or similar languages
• Proficiency with containerization and cloud environments.
• Knowledge in configuration management for distributed systems across multiple environments.
• Outstanding written and verbal communication abilities, with a demonstrated talent for translating technical concepts for both engineering and business audiences.
• Consistent record of being self-motivated, resourceful, and proactive in driving projects and business goals.
• A high-level understanding of Java, Python, or Bash/Unix scripting.
• Familiarity with CI/CD operations, tooling, continuous deployment, and related technologies in a Kubernetes environment.
• An aptitude for leveraging AI tools such as Windsurf, Cursor, or similar to enhance software development and operational efficiency.

Position Overview:

This role is responsible for building and evolving Acadian’s Identity and Configuration Platform. A core team which enables secure, scalable and seamless access to systems, across both cloud and on-prem environments. You will develop APIs, services and tooling to standardize identity, configuration and operational patterns across the firm. The goal is to make secure access simple, consistent and durable for every team at the firm, directly or indirectly.

This is a hands-on platform engineering role that blends software development, architecture and SRE operations. You will be expected to design, build, support and operate critical infrastructure, build in security by default, making it easy to consume patterns and services. This could range from enterprise identity management to production level SSO, DNS, Certificate services and Secrets Management, EKS and more. You will act in a building and advisory capacity with deep technical knowledge.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

• Build and maintain APIs, services, libraries and patterns to standardize services we own across the stack.
• Develop reusable platform capabilities to reduce duplication and eliminate one-off solutions across teams.
• Improve the daily experience of all users at the firm within our domain.
• Partner with engineering teams to integrate platform services into their applications and workflows.
• Operate and support critical platform services, including participation in an on-call rotation.
• Automate operational workflows to improve reliability, observability and incident response.
• Contribute to architectural direction and continuously improve the firm’s identity and access strategy.
• Mentor peers and help raise the engineering bar across the organization.
• Team operates in pair programming sessions for better than 90% of the working day.

We’re Looking for Teammates With:

• BS in in Computer Science, Computer Engineering, Electronic Engineering, Information Technology, or a directly related field plus 3 years of related software engineering experience. (7 years of experience without BS degree).
• At least 2 years of prior experience, financial services exposure is a plus.
• Strong backend engineering experience in one or more of: Go, Python or TypeScript.
• Comfortable working across Linux-based systems and scripting (e.g., Bash, PowerShell)
• Experience with Infrastructure as Code (Terraform preferred)
• Experience building APIs, services, or shared platform components used by other engineers
• Solid understanding of software design principles, including modularity, testability, and maintainability
• Hands-on experience with AWS and cloud-native architecture.
• Familiarity with Kubernetes (EKS preferred) and containerized systems
• Understanding of authentication and authorization concepts (OAuth2, OIDC, SAML, tokens) (preferred)
• Experience with identity providers (e.g., Okta, Entra ID) (preferred)
• Claude, ChatGPT, Cursor and other AI model experience a plus.

The base salary range for this role is $180,000 – $200,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

InterSystems Cloud Development initiatives enable healthcare organizations to revolutionize their operations through innovative, cloud-based technology solutions. Our team thrives on integrating cutting-edge InterSystems technologies with leading public-cloud services to solve complex, high-impact problems.

In a dynamic environment driven by constant innovation, we excel through creative thinking, exceptional problem-solving, teamwork, and an unwavering commitment to excellence. Every team member plays a critical role in our customers’ success, grounded in mutual trust and accountability. At InterSystems, we embrace change and challenge as catalysts for growth.

As a Principal Cloud Engineer, you combine deep technical expertise with strategic vision and leadership. You will own the architecture, automation, and operational excellence of large-scale, mission-critical healthcare workloads—guiding cross-functional teams and mentoring engineers while collaborating with product, security, and executive stakeholders.

Key Responsibilities

• Architect & Lead
  • Design end-to-end cloud architectures (network, compute, storage, security) for InterSystems IRIS-based solutions, ensuring scalability, resiliency, performance, and compliance.
  • Establish technical roadmaps and standards for infrastructure-as-code, CI/CD, observability, and security across multiple cloud providers (AWS, Azure, GCP).
  • Serve as the technical authority in design reviews, threat modeling, DR planning, and performance tuning.
• Automate & Operate
  • Build, deploy, orchestrate, and automate application and infrastructure packages using Terraform, Ansible, CloudFormation, Azure Resource Manager, and Kubernetes-based tooling.
  • Champion Git-centric workflows and CI/CD pipelines (GitLab preferred) to enable safe, repeatable releases.
  • Drive rigorous monitoring, logging, and incident-response practices leveraging CloudWatch, Prometheus, Coralogix, Lacework, PagerDuty, or equivalent.
• Mentor & Influence
  • Coach and develop senior and junior engineers; foster a culture of continuous improvement, knowledge sharing, and psychological safety.
  • Partner with product owners and customer executives to translate complex requirements into robust cloud solutions.
  • Lead post-incident reviews and capacity-planning sessions, ensuring lessons learned feed directly into architecture and process refinements.
• Innovate & Evangelize
  • Evaluate emerging technologies (serverless, service mesh, confidential computing, AI-for-Ops) and drive adoption where they add measurable value.
  • Represent InterSystems at industry events and customer briefings, articulating the technical vision and ROI of our cloud-first strategy.

Required Qualifications

• 10 + years managing production healthcare or regulated-industry environments, including application support, code deployment, and 24×7 operations.
• Advanced Linux administration (Red Hat or Ubuntu); strong scripting in Python, Bash, or PowerShell.
• Demonstrated success leading architecture and incident-management efforts for high-availability, multi-AZ/region deployments.
• Proven ability to influence executive stakeholders and navigate competing priorities.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications 

• Professional-level cloud certifications (e.g., AWS Solutions Architect – Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect).
• Mastery of configuration-management and IaC (Terraform Enterprise, Ansible Tower, Puppet, Chef).
• Production experience with container orchestration (Kubernetes, EKS, AKS) and service-mesh or serverless architectures.
• Solid understanding of Zero-Trust security principles, DevSecOps pipelines, and compliance frameworks (HIPAA, HITRUST, SOC 2, ISO 27001).
• Expertise in TCP/IP networking, VPN & Direct Connect, load balancing, storage performance, and Linux kernel internals.
• Experience driving large-scale cost-optimization and FinOps initiatives in cloud environments.
• Deep expertise in clinical data integration and interoperability (HL7 V2.x, C-CDA, FHIR, IHE profiles).

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Quality Engineer Rotational Program – Early Career

About InterSystems

InterSystems powers mission-critical applications in healthcare, financial services, government, and other industries. Our data platform, interoperability solutions, and analytics technologies help organizations solve complex problems and deliver meaningful outcomes. With a focus on innovation and client success, we support systems that make a real-world impact.

The Quality Development Rotational Program is a rotational experience for soon-to-be graduates (BS, MS or PhD) who are interested in the delivery of high-assurance software through advanced testing, validation, and system-level analysis. QDP engineers partner with development teams across the company to implement test automation, build continuous integration (CI) pipelines, and identify root causes of bugs and regressions in complex, distributed systems.

We focus on software quality at scale—from performance profiling to security testing—to ensure our platforms are robust, reliable, and ready for real-world use.

Program Highlights:

• 3-week onboarding and training: Learn core technologies, debugging techniques, and best practices.
• Two 6-week team rotations: Gain hands-on experience with different tools, workflows, and testing strategies across our product teams (HealthShare, IntelliCare, Data Platforms).
• Mentorship and support: Work closely with experienced engineers for guidance and career development.
• Team placement: At the end of the program, participants transition to their long-term team based on interest, fit, and business needs.

Why Join Us?

• Cross-Team Experience: Gain exposure to interoperability platforms, data infrastructure, and clinical systems.
• Supportive Mentorship: Learn from seasoned engineers with insight into best practices and career planning.
• Career Path: Transition into a full-time role with growth opportunities in test automation, performance engineering, or security testing.

What We’re Looking For

Education & Background

• Soon-to-be graduates with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related STEM field. Graduation dates ranging from December 2025 to August 2026.

Technical Skills

• Proficiency in object-oriented programming (e.g., Java, Python, C++, C#).
• Exposure to scripting languages (e.g., Bash, PowerShell, Batch scripting).
• Familiarity with unit testing frameworks (e.g., JUnit, pytest, NUnit) and test automation tools.
• Understanding of version control (Git preferred) and CI/CD tools (e.g., Jenkins, GitLab CI).
• Interest or experience in debugging, test-driven development, or software diagnostics.

Professional Attributes

• Strong analytical and problem-solving skills.
• Attention to detail and ability to spot edge cases and performance issues.
• Eagerness to learn, adapt, and grow in a technical, fast-paced environment.
• Passion for software quality and building systems that make a real-world impact.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Role Overview  
We are looking for a  Sr. Control System Engineer/Site Reliability Engineer (SRE) to integrate and maintain the hardware and software systems that enable QuEra’s quantum controls and software stack. You’ll work closely with software engineers, physicists, hardware and test engineers to install, upgrade, maintain, test and troubleshoot multiple hardware and software control systems for our Quantum Computers. This role is a foundational systems engineering role to ensure the reliability, stability, and operational functionality of both our development and production environments.  

Key Responsibilities  

• Implement, maintain and test software and hardware in a heterogeneous system that controls disparate computer system devices. 

• Define, document, implement and test procedures for QuEra’s Quantum computer operations. 

• Manage science, development and testing infrastructure, including hardware-in-the-loop (HIL) setups, containerized services (K8S), routers, switches, and test systems. 

• Propose, and/or implement automated provisioning, configuration, and orchestration of local and remote compute systems used in controlling and testing, simulations.  

• Collaborate with software and test engineering teams to ensure smooth integration/deployment of DevOps tools with custom hardware and quantum-specific workflows.  

• Maintain artifact repositories, test result dashboards, and infrastructure for tracking regressions and system health.  

• Establish and enforce best practices for access control, system configuration, and lab operations.  

• Support incident response, troubleshooting, and root cause analysis for CI/CD failures or system anomalies. 

• Implement automation for monitoring and alerting for systems and services, integrating logs and metrics from embedded systems, test benches, and orchestration layers. 

• Work with CI/CD pipelines for building, testing, and deploying software and firmware across the quantum control stack. 

Required Qualifications  

• Practical implementation of LAN and WAN technologies on switches and routers (to include but not be limited to VLAN configuration, DNS, DHCP, and TCP/IP based services) 

• Practical Linux (Ubuntu, Debian, Redhat) and Windows Administration experience, to include but not be limited to network operations and, application installation and debugging 

• Proficiency in scripting languages such as Python, Bash, or Go, and familiarity with tools like Docker, Git, and Kubernetes.  

• Experience with CI/CD tools (e.g., GitLab CI, Jenkins) and infrastructure-as-code platforms (e.g., Ansible, Terraform, or similar).  

• Familiarity with observability tools (e.g., Grafana, Prometheus, ELK stack) and logging systems for real-time data monitoring.  

• Hands on experience with rack mount servers 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.  

• 10+ years of experience in a Network SQA, Systems Engineering, SRE, or infrastructure engineering roles.  

Preferred Qualifications  

• Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.  

• Knowledge of secure software deployment and Product life cycles.  

• Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.  

• Exposure to scientific computing, HPC, or quantum software stacks is a plus.  

• Ability to thrive in fast-moving, interdisciplinary R&D teams.  

Salary range is $160,000-$225,000. We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $166 billion on behalf of leading institutions worldwide—including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.

What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian.

Position Overview:

The Platform team is responsible for building and supporting services that enable our development teams to leverage frameworks, tooling, and services across in-house and vendor PaaS/IaaS offerings. Platform defines the architectural roadmap, best practices, and provides education on these services. This position will work on a cross-functional team that is responsible for implementation and maintenance of our investment infrastructure, focusing on building reusable application templates, patterns of delivery, and operational support of our systems running in AWS and Kubernetes. You will partner with development teams in the Investment group and peers in Platform to guide how we operate our applications. Platform’s goal is to enable our fellow product focused teams to deliver solutions faster through automation and engineering.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

· Pair with your team members to build out services and tooling that advance our cloud capabilities using AWS services like EKS, ECS, EC2, Lambda, Bedrock, and ParallelCluster

· Design, build, and maintain agentic AI systems and automated workflows that augment decision-making and operational efficiency

· Work closely with our partners at AWS to leverage architecture and support services

· Review, comment, and approve pull/merge requests

· Drive automation of the entire software delivery lifecycle

· Proactively improve and modernize our tech stack

· Ensure observability and availability of the investment systems

· Troubleshoot and resolve operational issues

· Mentor junior members of the team

· Rotate through an on-call schedule with your team members to provide afterhours support when needed

We’re Looking for Teammates With:

· BS in Computer Science or related field preferred with at least 5 years of prior experience (Financial services exposure is a plus)

· Proven record of building scalable and durable services in AWS

· Knowledge of observability platforms such as OpenTelemetry, CloudWatch, New Relic, Prometheus

· Understanding of modern AI concepts, including agentic systems, orchestration, and automation workflows.

· Knowledge of migration strategies for legacy workloads to AWS

· Knowledge of common patterns and software architecture

· Familiarity with scripting in Bash/POSIX Shell

· Experience developing services/libraries across multiple languages (Python, TypeScript, Go, and C# are relevant to our current stack)

· Experience with Terraform, Helm, and Kustomize (CDK experience is a plus)

· Demonstrated expertise with Linux and Kubernetes

· Structured approach to troubleshooting

· Practical experience with networking and storage

The base salary range for this role is $165,000 – $185,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

As a Senior Quality Development Engineer on the InterSystems IRIS® Data Platforms Cloud team, you will contribute to the development of high quality, robust InterSystems software by uncovering weaknesses and areas for improvement. If you are passionate about software, you will excel in this role by building tools and automation that verify new technologies as well as verifying that these new technologies do not adversely affect existing features. Your strong technical capabilities, curiosity to learn new things, creativity, and resourcefulness are an essential part of InterSystems’ innovation process.

Duties and Responsibilities:

• Develop automated functional, load and stress tests to test InterSystems products functionality in a multi-cloud environment, with focus on configurations and data that fairly represent customer systems
• Develop test scenarios and author and execute test plans
• Collaborate with interdepartmental teams to provide early feedback on new features
• Promote product quality by advocating for the customer's point of view as well as verifying that the product meets the customer’s needs

• Review product source code to inform test design for edge and stress test case development for key areas of the product such as failover and recovery

• Review the documentation and verify that it is clear and concise. Ensure that the documented procedures are clear and easy to follow

Qualifications:

• Ability to read code critically, finding bugs, weak spots, and performance bottlenecks
• Enthusiasm for debugging and learning new technical skills
• Understanding of Software Development Life Cycles (SDLC)
• Experience with application development, relational databases, and object-oriented development
• Experience with cloud technologies such as AWS, Azure, and GCP
• Familiarity with UI (Angular, Typescript, JS) and UI test automation (Selenium)
• Experience with container technologies such as Docker and Kubernetes
• Familiarity with software test tools and automation methodologies
• Experience with Object-Oriented programming (Java, .Net, C#, C++, Python) or C
• Experience with Python modules such as pytest, Kubernetes, boto3
• Effective communication and analytical skills
• Curiosity and aptitude for acquiring new technical skills and knowledge in a dynamic and highly technical environment
• Versatility and flexibility  
• Attention to detail and a passion for breaking things

Desirable:

• Experience with the Go programming language
• Technical knowledge of operating systems
• Experience with Windows batch and PowerShell scripts, unix  sh and bash scripts
• Experience with distributed systems and networking
• Experience with GitLab pipelines and continuous integration
• Familiarity with healthcare specifications such as FHIR, HL7 v2, or CDA
• Familiarity with accessibility tools (SortSite, Deque)
• Familiarity with InterSystems products, such as IRIS, ObjectScript, or HealthShare

Education and Training:

• Bachelor’s Degree in Computer Science or a related field and five years of relevant professional experience or Master’s Degree in Computer Science or a related field and two years relevant professional experience.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets. 

Role Description 

• Own computational theoretical chemistry programs across therapeutic modalities, disease targets, and indications 

• Ensure effective collaboration with the Biology, and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations  

• Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations 

• Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology 

• Partner to improve 1910’s existing process for progressing from computational hit to experimental hit to lead to drug candidate 

• Co-author provisional patents and peer-reviewed research papers  

• Validate a cellular hit in a clinically relevant animal model of disease 

• Update provisional patents with the animal model data 

• Nominate a lead candidate for progression into IND-enabling studies 

• Attend and present research at conferences and events related to computational modeling in drug discovery 

Qualifications 

• Ph.D. in computational chemistry or related discipline 

• In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems 

• Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling 

• Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more 

• Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments 

• Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET) 

• Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS) 

• Ability to optimize computational simulation protocols for efficient resource usage 

• Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR) 

• Hands-on experience with Python and Bash scripting for automating workflows and data analysis 

• Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management 

• Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks 

• Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design 

• Clear and effective communication of complex scientific ideas through reports, presentations, and publications 

Nice to Haves 

• Relevant industry experience via internship and co-op 

• Publication records in computational chemistry related to drug discovery 

#LI-Onsite

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets. 

Role Description 

• Own computational chemistry programs across therapeutic modalities, disease targets, and indications 

• Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations  

• Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations 

• Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology 

• Partner to improve 1910’s existing process for progressing from computational hit to experimental hit to lead to drug candidate 

• Co-author provisional patents and peer-reviewed research papers 

• Progress a virtual hit to a biochemical/cellular hit 

• Validate a cellular hit in a clinically relevant animal model of disease 

• Update provisional patents with the animal model data 

• Nominate a lead candidate for progression into IND-enabling studies 

• Attend and present research at conferences and events related to computational modeling in drug discovery 

Qualifications  

• Ph.D. in computational chemistry or related discipline 

• 2 years of relevant industry experience within drug discovery or biotechnology 

• Played a key role in advancing a drug discovery program from early research phases to clinical development 

• In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems 

• Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling 

• Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more. 

• Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments 

• Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET) 

• Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS) 

• Ability to optimize computational simulation protocols for efficient resource usage 

• Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR) 

• Hands-on experience with Python and Bash scripting for automating workflows and data analysis 

• Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management 

• Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks 

• Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design 

• Clear and effective communication of complex scientific ideas through reports, presentations, and publications 

Nice to Haves 

• Publications in computational chemistry related to drug discovery 

#LI-Onsite

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets. 

Role description  

• Own computational chemistry programs across therapeutic modalities, disease targets, and indications 

• Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations  

• Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations 

• Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology 

• Manage day-to-day operations of the Computational Theoretical Chemistry Team, mentor junior staff, and represent the team in senior leadership meetings 

• Partner to improve 1910’s existing process for progressing from computational hit to experimental hit to lead to drug candidate 

• Co-author provisional patents and peer-reviewed research papers 

• Progress a virtual hit to a biochemical/cellular hit 

• Validate a cellular hit in a clinically relevant animal model of disease 

• Update provisional patents with the animal model data 

• Nominate a lead candidate for progression into IND-enabling studies 

• Attend and present research at conferences and events related to computational modeling in drug discovery 

Qualifications  

• Ph.D. in computational chemistry or related discipline 

• 3+ years of relevant industry experience within drug discovery or biotechnology 

• Played a key role in advancing a drug discovery program from early research phases to clinical development. 

• In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems 

• Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling 

• Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more. 

• Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments 

• Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET) 

• Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS) 

• Ability to optimize computational simulation protocols for efficient resource usage 

• Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR) 

• Hands-on experience with Python and Bash scripting for automating workflows and data analysis 

• Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management 

• Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks 

• Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design 

• Clear and effective communication of complex scientific ideas through reports, presentations, and publications 

Nice to Haves 

• Publications in computational chemistry related to drug discovery 

 #LI-Onsite

About us

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking exceptional engineers to join as early members. Together, we will create the AI layer that will redefine healthcare for the better.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re hiring an experienced Site Reliability Engineer for our Boston or NYC office!

You can expect to:

• Design, build, and maintain resilient, scalable, and secure infrastructure to support critical healthcare applications.
• Develop and implement automation for provisioning, scaling, monitoring, and security of cloud-native systems.
• Collaborate closely with engineering teams to optimize system performance, reliability, and developer workflows.
• Lead incident response, root cause analysis, and postmortem processes to ensure continuous improvement.
• Cultivate a robust engineering and product culture that drives the company forward.

We look for:

• 5-7+ years of experience in DevOps, SRE, or infrastructure engineering roles, preferably in cloud-native environments (we run on GCP).
• Expertise in IaC tooling (e.g., Terraform, Helm), CI/CD pipelines, Kubernetes, and monitoring tools (e.g., Prometheus, Grafana).
• Proficiency in one or more scripting/programming languages such as Python, Go, or Bash.]
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• A proactive problem-solver with a strong sense of ownership and the ability to work independently.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team.
• We expect engineers to meet regularly in-person in our Boston or NYC offices.

Join us and help us transform healthcare with AI.

Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Expected compensation range for this role is $200,000-240,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.