Systems Software Architect

Are you an experienced AWS Architect looking to make an impact? Join Arete Technologies, Inc. and leverage your expertise in Amazon Web Services (AWS) provisioning and deployment. You will be responsible for automating processes and utilizing AWS technologies such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), and CloudFormation. Your role will also involve creating infrastructure qualification documents, executing test plans, and collaborating with IT Quality Teams for document approval. Strong written and verbal communication skills are essential for success in this role.

Quotient Therapeutics is a private biotechnology company developing new therapies by working with natural somatic genetic diversity in patients. The team applies expertise in somatic genomics to advance biopharmaceutical research, running both internal and collaborative programs. Founded by Flagship Pioneering, Quotient Therapeutics is part of a network of over 100 ventures launched in the last two decades, each tackling challenges in biology, industry, and engineering. Role overview This mid-level AWS Platform Engineer position is based at the Chesterford Research Campus near Cambridge, UK. The role focuses on building and improving cloud infrastructure that supports genomics-driven drug discovery. As part of the Data Infrastructure team, the engineer will work alongside biologists, informaticians, and software engineers to maintain data pipelines, applications, and AI/ML workflows across the organization. The position reports to the Head of Data Engineering. Candidates must have the right to work in the UK. What you will do Manage and enhance the AWS-based platform for development and production environments. Develop and maintain infrastructure-as-code, primarily using AWS CDK, to provision and manage cloud resources. Help build CI/CD pipelines and automation for engineering teams. Support and optimize AWS services including EC2, S3, Lambda, Batch, ECS/EKS, and RDS. Improve observability through better logging, monitoring, alerting, and cost tracking. Troubleshoot issues across infrastructure, pipelines, and applications, collaborating closely with engineers and scientists. Location This position is based at the Chesterford Research Campus near Cambridge, UK.

About UsTetraScience is at the forefront of the Scientific Data and AI landscape, spearheading the Scientific AI revolution. Our mission is to design and industrialize AI-native scientific datasets, which we integrate into a robust suite of next-generation lab data management solutions, scientific applications, and AI-driven outcomes. As the category leader in this transformative market, TetraScience has outpaced all competitors in revenue generation. In the past year, we have attracted partnerships with the world's leading players in computing, cloud, data, and AI infrastructure, solidifying our position as the de facto standard in scientific data innovation.As part of your application process, we invite you to review the Tetra Way letter, penned by our co-founder and CEO, Patrick Grady. This document is crucial for understanding our values and culture, and we encourage you to reflect on its contents to assess your alignment with our unique approach to team building. If you join us, you will be expected to embrace and embody these principles daily.

Miratech seeks a Genesys Cloud Architect based in Cambridge. This position centers on designing and delivering Genesys Cloud solutions that support clients in strengthening their customer communications. Direct collaboration with clients is essential to ensure each solution aligns with unique business objectives. Main responsibilities Create Genesys Cloud architectures that address specific client needs Oversee deployment and implementation of Genesys Cloud solutions Coordinate with cross-functional teams to meet project deadlines Provide guidance to clients on using cloud technology to enhance customer experience Requirements Extensive knowledge of Genesys Cloud architecture Proven experience in deploying Genesys Cloud solutions Keen interest in advancing customer interactions through technology Strong collaboration skills with both technical and non-technical colleagues

Redgate Software develops tools that help data professionals manage and protect critical databases. As organizations face growing data needs, evolving regulations, and new technologies, Redgate’s products play a key role in supporting these changes. The Shared Applications & Services team oversees the business systems and data flows that underpin daily operations. This group addresses complex technical problems and values collaborative decision-making, drawing on input from across the team to shape its direction. Role overview The Business Systems Architect leads the design and structure of Redgate’s internal systems. This includes a varied landscape of SaaS platforms, services, data integrations, and business processes. The role involves developing and sharing an architectural vision and roadmap for Shared Applications & Services, balancing long-term strategy with immediate needs. Working closely with teams in Sales, Marketing, Finance, and Operations, the Business Systems Architect makes practical decisions that align business goals with technical delivery. The position requires designing and guiding cross-system solutions, relying on experience, sound judgment, and facilitation skills rather than authority. Establishing architectural standards and shaping group decision-making processes are also key parts of this role. Location This position is based in Cambridge.

The Senior Solutions Architect at HubSpot partners with key customers to design and deliver scalable, AI-powered solutions that help organizations grow. This position combines technical consulting with hands-on development, shaping long-term platform strategies and building AI-enhanced tools for internal teams and partners. The work supports platform adoption, speeds up customer engagement with HubSpot’s AI features, and creates reusable assets for the Solutions ecosystem. Design and Build Architect and implement agentic workflows and large language model (LLM) solutions to improve customer outcomes and increase engagement with HubSpot's platform. Create working prototypes and proof-of-concept automations that demonstrate measurable business value, helping customers move from evaluation to production. Document effective technical approaches by developing libraries, playbooks, and frameworks to improve delivery efficiency for Solutions teams and partners. Advise and Lead Translate complex, multi-portal business requirements into scalable solution strategies across the HubSpot platform to deepen engagement and usage. Lead solution design for large-scale HubSpot AI implementation projects, identifying ways to unify the platform and drive efficiency throughout the customer lifecycle. Develop and advocate for multi-quarter technical roadmaps that align solution choices with business objectives, building value propositions for director-level and senior stakeholders. Guide solution design for complex, multi-hub projects that use agentic AI, advanced CRM features, APIs, and the broader HubSpot ecosystem to address customer go-to-market challenges. Identify and mitigate technical risks on high-impact projects, serving as the primary technical authority for innovative use cases. Share consolidated field insights with Product and Engineering teams to help shape HubSpot's platform roadmap. Location: Cambridge, MA, USA

The Company Flagship Labs 119 Inc. (FL119) is an innovative technology firm at the cutting edge of neuroscience and computation. We are on a mission to revolutionize the landscape of intelligent system development, driven by the belief that the future of artificial intelligence necessitates a radical re-evaluation of existing paradigms. Our objective is ambitious and urgent: to cultivate a future in which naturalistic, resilient intelligence can thrive and function sustainably at scale. Supported by Flagship Pioneering, we possess the courage, strategic vision, and resources essential for achieving extraordinary outcomes. At FL119, we foster a culture that is interdisciplinary and collaborative. Our teams flourish in dynamic and imaginative settings where every voice is valued, recognizing that diverse experiences, transferable skills, and genuine passion are key to our success. The Role: We are in search of a visionary and technically proficient Neuromorphic Systems Architect to join our team. We offer flexible leveling based on your experience. This position will concentrate on converting nonlinear neural dynamics into state-of-the-art computational architectures. You will engage at the intersection of neuroscience, dynamical systems theory, and hardware engineering to design and prototype electronic systems that integrate biologically inspired computation principles. This is not your typical AI accelerator role; we are looking for someone who can reconceptualize computing from foundational principles, designing architectures that embrace recurrence, nonlinearity, sparsity, event-driven signaling, and adaptive dynamics as core components rather than limitations. Your Responsibilities: Translate brain-inspired computation through dynamical systems theory into hardware-relevant abstractions. Design innovative neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates). Establish system-level architecture that encompasses memory models, communication protocols, and energy-efficient computing primitives. Collaborate closely with teams in neuroscience, signal processing, and machine learning to ensure a seamless integration of biological insights with architectural design. Lead feasibility studies, simulations, and early-stage prototyping initiatives. Assess trade-offs across CMOS, emerging devices, photonic, memristive, or other unconventional computing substrates. Contribute to our intellectual property strategy, including invention disclosures and patents. Help define the long-term computing vision of the company.

Join Luminance, a leader in Legal-Grade™ AI for enterprises, and be part of a groundbreaking team that's revolutionizing the legal profession worldwide. With backing from prestigious venture capitalists and accolades like being featured in Forbes AI 50 as one of the 'Most Promising Private AI Companies' and Inc. 5000's 'Fastest Growing Companies in America', we're on the cutting edge of technology.We are on the lookout for an innovative and skilled Infrastructure Engineer to join our Infrastructure Team in a role focused on DevOps and platform engineering. The successful candidate will possess a robust background in cloud-native infrastructure development, emphasizing automation, scalability, and security, as well as a comprehensive grasp of Infrastructure-as-Code (IaC). Your role will be pivotal in designing and evolving Luminance’s AWS platform, modernizing deployment patterns, automating environment creation, and ensuring our systems are reliable, repeatable, and resilient.Key ResponsibilitiesDesign, build, and maintain scalable cloud infrastructure utilizing AWS services including EC2, EKS, RDS/Aurora, ElastiCache, OpenSearch, and CloudFront.Lead the development and adoption of Kubernetes on EKS for managing both production and internal workloads.Architect and implement Infrastructure-as-Code (IaC) pipelines, integrating Terraform or similar tools into CI/CD workflows for environment provisioning, validation, and automated testing.Implement zero-downtime deployment strategies (blue/green, rolling, canary) and automate rollback and recovery processes.Promote continuous improvement in infrastructure, focusing on eliminating single points of failure and enhancing autoscaling, high availability, and managed service adoption across the platform.Collaborate with SRE, Security, and Engineering teams to enhance observability, monitoring, and alerting using tools such as Prometheus, Grafana, and CloudWatch.Work closely with the Security team to incorporate best practices for IAM, secrets management, WAF, and overall posture management.Optimize performance and cloud expenditure through automation and cost visibility dashboards.Participate in on-call rotations, conduct post-incident reviews, and contribute to ongoing operational reliability improvements.

LILA Sciences is seeking a Staff DevOps Engineer to lead the design, deployment, and ongoing improvement of infrastructure and delivery systems. This role blends platform engineering, site reliability, and DevOps practices to build scalable, automated systems that support reliable software delivery in cloud and Kubernetes environments. Collaboration is central: work closely with software developers, laboratory scientists, and machine learning engineers to create the backbone for automated scientific analysis and experiment orchestration. Key Responsibilities Design and implement Kubernetes-based infrastructure to support scientific services, machine learning pipelines, and platform workloads. Ensure production hardening, RBAC, network policies, and compliance with Pod Security Standards. Set up and maintain CI/CD pipelines using GitHub Actions or GitLab CI. Apply best practices including build attestations, SBOM generation, dependency scanning, and container image hardening. Apply Infrastructure-as-Code principles with Terraform and Helm. Implement policy-as-code guardrails (using OPA, Kyverno, or Checkov) and enable drift detection. Manage AWS cloud infrastructure, including EKS clusters, IAM with least privilege, VPC/PrivateLink networking, KMS/Secrets Manager, ECR, S3, and centralized logging and monitoring systems. Develop platform tools to improve deployment, observability, and developer workflows, supporting self-service with secure defaults. Drive reliability engineering practices, focusing on SLOs/SLIs, incident response, capacity planning, and performance optimization across the technology stack. Implement software supply chain security, including artifact signing, registry governance, and vulnerability management. Build and maintain QA and testing infrastructure: static analysis, code quality gates in CI pipelines, automated end-to-end and browser-based regression testing, ephemeral environments for pull request validation, and pre-merge quality checks. Automate operational processes and develop tooling in Python or Go to streamline infrastructure operations and integrate telemetry with observability platforms. Requirements Significant experience in DevOps, Site Reliability Engineering, or Platform Engineering within large-scale cloud environments. Proficiency with cloud deployments (AWS, GCP, etc.) using Infrastructure-as-Code tools such as Terraform and Helm, and expertise in containerization. Strong background in CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and familiarity with GitOps workflows. Advanced scripting skills in Python or similar languages for automation and tool creation. Comprehensive understanding of Kubernetes operations, including deployments, networking, storage, observability, and troubleshooting. This position is based in Cambridge, MA, USA.

Location: Cambridge, UK. Candidates should live within commuting distance or be willing to relocate for onsite meetings as needed. Role overview Jagex seeks a Senior Cloud Reliability Engineer to help keep RuneScape’s services reliable, scalable, and responsive for players worldwide. This position sits within the Cloud Tech division and collaborates with Game, Central Tech, and Cloud Platform teams. The main focus is to drive reliability, observability, automation, and cloud-native practices across a hybrid-cloud environment. This role combines hands-on production engineering with architectural decision-making. Projects include modernizing services, migrating workloads, and improving systems that directly affect the player experience. The team is committed to delivering reliable live services at scale. What you will do Collaborate with game and development teams to move services toward cloud-native architectures, increasing resilience, security, and cost-effectiveness in live environments. Support migration of workloads from managed VPS environments to Jagex’s cloud platform, with a focus on modernization and uptime. Develop and refine SLIs, SLOs, and error-budget frameworks to measure and communicate service reliability across teams. Design and improve observability and alerting for logs, metrics, and traces, enabling faster detection and resolution of issues. Automate operational tasks such as scaling, failover, and deployments. Build self-healing systems to reduce manual intervention and improve recovery. Drive reliability improvements in Linux-based production systems, reusable Infrastructure as Code modules, and team codebases. Contribute to raising engineering standards within Cloud Tech. Requirements Experience ensuring reliability for large-scale, internet-facing production services. Strong knowledge of AWS services, including VPC, EC2, ECS/EKS, ELB, ECR, Route53, KMS, IAM, and Systems Manager. Background in cloud-native design, workload modernization, and Infrastructure as Code (IaC). Hands-on experience with SLIs, SLOs, incident management, root cause analysis, and resilient system architecture. Practical experience with Debian-based Linux environments, managing VM fleets, and configuration management tools. Familiarity with observability platforms, CI/CD practices, containerization, and programming or scripting in Python or Java. Benefits Comprehensive private healthcare, including dental plan Discretionary annual performance bonuses At least 6% pension contributions Life insurance coverage Enhanced family leave policies

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available or Remote option for Out-Of-State applicantsStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike, a rapidly expanding AI startup recognized among the Top 10 GenAI companies by GTM Capital and founded by MIT CSAIL researchers.We are on the lookout for a Senior Cloud Engineer (Multicloud) who possesses extensive hands-on expertise in constructing, managing, and scaling production infrastructures across AWS, GCP, and Azure. Your contributions will directly support large-scale, distributed AI systems utilized by Fortune 500 clients.Ideal candidates will have experience in operating genuine multicloud environments, not just limited to a single provider. You will play a pivotal role in creating reliable, scalable systems while effectively managing the complexities of various cloud architectures, networking models, and operational trade-offs.What You'll DoBuild, deploy, and manage production infrastructures across AWS, GCP, and Azure.Ensure consistency across environments using Infrastructure as Code (preferably Terraform).Deploy and manage Kubernetes clusters and containerized applications across multiple cloud platforms.Design and oversee cloud networking (VPC/VNet architecture, peering, load balancing, private connectivity).Implement comprehensive monitoring, logging, alerting, and incident response strategies for multicloud environments.Enhance performance, reliability, and cost-effectiveness across providers through autoscaling and capacity planning.Support AI training and inference workloads in multicloud settings.Troubleshoot intricate production challenges across compute, networking, storage, and Kubernetes layers.Work collaboratively with AI, backend, and platform teams to optimize production systems.What We're Looking For5+ years of experience as a Cloud / Platform / Infrastructure Engineer.Proven production experience with AWS, GCP, and Azure (deep knowledge in at least one).

NO EXPERIENCE NECESSARY, FULL TRAINING PROVIDEDEmbark on an exciting new career in Cloud Computing with us!The demand for IT Technicians, AWS Cloud Computing Professionals, and Cyber Security Experts is skyrocketing due to a significant skills gap in the industry. Our extensive network of employers is eager to hire newly trained tech professionals, particularly in the field of Cloud Computing.As part of our Career Academy Programs, we facilitate connections between our students and a diverse range of employers to fill critical tech positions in this thriving sector.Join our complimentary AWS Webinar this weekend by clicking 'Apply for this job', and we will promptly send you the joining link.*Please note: The webinar is informational only and does not guarantee job placement.

Imagine being part of a pioneering organization that fosters, funds, and builds innovative life sciences companies focused on groundbreaking technologies aimed at transforming healthcare and sustainability. Montai Therapeutics is an early-stage biotechnology company that is privately owned, dedicated to developing a unique platform designed to understand and utilize complex molecular interactions to address global health and sustainability challenges. Our multidisciplinary approach combines advanced tools, including machine learning, big data, multi-omics, and high-throughput screening. At Montai, we cultivate a vibrant, forward-thinking culture committed to enhancing human health: We operate as a cohesive unit, characterized by mutual trust, empowerment, and accountability. While we each contribute our strengths, we thrive as a unified team, dedicated to excellence. We embody urgency and tenacity, with a strong belief in our capacity to effect change. We embrace discomfort as a pathway to growth, employing rigorous methods and viewing failures as valuable data points. Diversity in our workforce, thoughts, personalities, opinions, backgrounds, and uniqueness is a priority for us. We maintain a sense of humor to navigate the complexities of our strategic endeavors. About the Role We are in search of a Senior Platform Engineer who will enhance and expand our AWS-based infrastructure that underpins our products and teams. This role entails architecting the foundation that fuels our innovation and growth. You will tackle intricate engineering challenges, streamline automation processes for quicker and more dependable deployments, and construct resilient systems that empower our teams to operate at scale. Why should you consider joining us? Here, you will be at the forefront of genuine innovation, engaging with cutting-edge cloud technologies, challenging the limits of automation, and developing state-of-the-art tools that enable our users and teams to excel. If you are enthusiastic about creating platforms that yield significant impacts and wish to help define the future of technology delivery, this position is tailored for you. What You Will Do Design, build, and maintain AWS infrastructure (ECS, EC2, RDS, S3, IAM, VPC) or equivalent services from alternative cloud providers (GCP, Azure). Develop backend services and integration tools to bolster critical systems. Implement and optimize CI/CD pipelines (GitHub Actions, CodePipeline). Drive automation initiatives to ensure deployments are swift, reliable, and...

Your Impact at Lila Be a part of revolutionizing the scientific landscape! We are on the lookout for a Senior Full Stack Software Engineer to enhance our software platform team. In this role, you will partner with fellow software engineers, laboratory scientists, and machine learning experts to develop innovative tools aimed at streamlining automated scientific analyses. This position encompasses both web services and data engineering, with a robust focus on Python development tailored to scientific applications. If you excel in a collaborative, dynamic environment and apply best practices in version control, development workflows, and user-centered design, we encourage you to reach out! What You'll Be Building Design & Build Services and Front-ends: Create high-performance, secure, and well-documented code that seamlessly integrates with our existing ecosystem of services and applications. Performance & Reliability: Identify and rectify system bottlenecks, ensuring high availability and low-latency performance across extensive workloads. Cloud & Infrastructure: Utilize AWS services, Kubernetes, and contemporary DevOps practices to construct and deploy production-grade systems at scale. Cross-Functional Collaboration: Collaborate with machine learning researchers, engineers, and scientists to weave together data pipelines, APIs, and cloud infrastructure within scientific workflows and services. What You’ll Need to Succeed Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 4-8 years of experience in software development within a commercial context. Full Stack Development: Proven experience in developing web applications across the complete stack using React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, and Pydantic. Cloud & DevOps Expertise: Hands-on experience with AWS, GCP, or Azure; deep understanding of Kubernetes, containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Communication & Collaboration: Excellent listening skills and a record of effective cross-functional teamwork with scientists, data engineers, and product teams; adept at conveying complex concepts to diverse audiences. Problem Solving: Established ability to tackle complex backend challenges, weighing trade-offs between scalability, performance, and maintainability.

Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available or Remote option for Out-Of-State applicantsStart date: ASAPLanguages: English (required)About the RoleJoin Pragmatike, a dynamic AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by esteemed MIT CSAIL researchers. We are currently seeking a Senior Multicloud Engineer who possesses extensive, hands-on experience in architecting, deploying, and managing production infrastructure across AWS, GCP, and Azure. This pivotal role involves working directly on cloud and platform layers to support large-scale, distributed AI systems for Fortune 500 clients.What You'll DoDesign, deploy, and maintain production infrastructure across AWS, GCP, and Azure.Ensure consistent environments through Infrastructure as Code (Terraform preferred).Manage and operate Kubernetes clusters and containerized applications across multiple cloud environments.Architect and oversee cloud networking solutions (VPC/VNet design, peering, load balancing, and private connectivity).Implement robust monitoring, logging, alerting, and incident response protocols for multicloud systems.Enhance performance, reliability, and cost-efficiency across providers using autoscaling and capacity planning strategies.Support AI training and inference workloads in multicloud settings.Diagnose and resolve complex production issues across compute, networking, storage, and Kubernetes layers.Collaborate with AI, backend, and platform teams to ensure seamless integration with production systems.What We're Looking For5+ years of experience as a Cloud/Platform/Infrastructure Engineer.Proven production experience with AWS, GCP, and Azure (strong expertise in at least one).