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Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 155,200.00 - 232,800.00 Compensation: Compensation includes a base salary in the range of $155,200.00 - $232,800.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Hands-On Principal Architect Needed for High-Growth Data Consultancy This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a leading modern data consultancy helping enterprise clients solve their toughest data challenges through cloud, AI, analytics, and engineering solutions. Our partnerships span top platforms including Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, Fivetran, and dbt Labs. Our team operates in a remote-first environment across the United States, Latin America, and India. We hire top performers who thrive in a culture built on ownership, trust, innovation, and autonomy. Recognized as an industry leader with multiple partner awards, hundreds of advanced certifications, and a reputation for delivering measurable client outcomes. Why join us? Competitive Compensation: $170,000 – $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Own strategic relationships and help expand enterprise accounts Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect who can operate as both a trusted technical advisor and a strategic growth partner. This role is ideal for someone with a strong hands-on background in Data Engineering or Solutions Architecture who has also succeeded in pre-sales, post-sales, account expansion, or client consulting environments. What You’ll Do Client Engagement & Growth Build executive and stakeholder relationships within key accounts Understand long-term business priorities and create technical roadmaps Identify expansion opportunities where additional services or solutions add value Partner with leadership and sales teams to grow strategic accounts Lead responses to RFPs, RFIs, proposals, and solution presentations Develop compelling business cases and technical value propositions Technical Leadership Architect end-to-end modern data solutions for enterprise clients Lead discovery sessions, assessments, proofs of concept, and solution design Guide implementations with focus on scalability, security, and performance Mentor engineers and architects across delivery teams Translate complex business problems into practical technical solutions Required Background 8+ years in Solutions Architecture, Data Engineering, or similar client-facing technical roles Experience in pre-sales, post-sales, consulting, customer success engineering, or account growth Strong hands-on experience with cloud data platforms such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud Strong coding skills in Python, Java, and/or Scala Advanced SQL optimization and data modeling skills Experience presenting to technical and business stakeholders Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor’s degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications or advanced platform credentials Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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Immediate contract opportunity for SAP Systems Engineering Specialist with direct client in New York, NY. This position will serve to reinforce the ERP Project's capacity in respect of Systems Engineering, specifically concerning the ongoing design, build, deployment, maintenance and optimization of the organization's SAP ERP system covering both the various SAP systems and applications part of the On-Premise landscape as well as the integration of select SAP Cloud applications and solutions. Reporting to ERPSD Basis staff, the SAP Engineering specialist will support the following major work areas: • Provide technical expertise and support work in respect of the ERP’s on-premise SAP landscape, such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Provide architecture and design assessment for the implementation of SAP Cloud-based solutions in integration with On-premise SAP systems, following SaaS/Paas models and relevant industry best practices. • Assists across the spectrum of the ERP’s production support work, including upgrades, system/component installation, installation of patches and Support pack stacks, landscape maintenance, HANA administration & security and transport management. • Supports the effective optimization of SAP NetWeaver security standards to ensure secure communication between distributed systems, with SAP data storage and network security, inter alia. Specific task areas: SAP System Engineering, Basis administration and Production support operations: • Support SAP Basis workstream activities including, but not limited to, performing transports, landscape and instance maintenance, client copies, system refreshes, system installation, support pack stack upgrades, software release management, problem determination, resolution and incident management • Lead and execute SAP HANA upgrades in complex MCOS and high-availability landscapes, working experience with HPE ServiceGuard is a plus. • Demonstrate in-depth expertise in SAP IDM and SRM/MDM platform administration, including installation, configuration, upgrades, repository management, and integration with enterprise identity services. • Manage SAP MDM 7.02 components and ensure seamless integration with SAP NetWeaver Portal, SRM, and PI systems. • Possess in-depth knowledge of SAP Solution Manager in order to support ChaRM setup, retrofit processes, Focused Run configuration, system monitoring, and job monitoring capabilities. • Assist with Redwood RunMyJob for SAP ABAP systems, including installation, upgrades, job scheduling, queue setup for system maintenance, queue monitoring, and advanced troubleshooting. • Engage with the ERP’s functional team to drive system performance monitoring, testing and tuning as required, including with respect to SAP cloud integration with On-premise. Technical Architecture of SAP Cloud with SAP On-premise Landscapes and Applications: • Support and maintain infrastructure platform, network, security and storage components in a cloud environment working with VMWare, Storage subsystem, Network components such as Load Balancer, Secure Socket Layer communication, VPN etc. • Design and support of High Availability/DR Solutions and Backup and Recovery solutions for enterprise applications and database in a public, private or hybrid cloud environments. • Assess the architecture and best practices for the integration of SAP Cloud solutions with the SAP On-premise Umoja solution. • Support the actual engineering and integration of On-premise SAP solution with cloud-based solutions provided by 3rd party vendors like Azure, AWS and Google Cloud Platform. • Lead the planning of possible migrations of On-premise systems into SAP’s Cloud infrastructure and assist in the implementation. • Lead technical aspects of SAP Cloud-based solutions regarding data protection, SSO solution for external applications SAP Business Technology Platform • Design and architect end-to-end solutions for SAP BTP including application setup and integration with cloud and on-premises application. • Assist with producing technical specifications and architecture diagrams. • Configure identify authentication and provision services using SAP IAS/IPS. Implement OAuth2, JWT, SSO (principal propagation) • Configure and administer SAP BTP subaccounts, Cloud Connector integrations, hybrid connectivity setups, and associated authorization frameworks. Security [SAP NetWeaver System, Network, Applications, Data] • Enable SAP applications for internet facing solutions by designing and implementation of SAP network security standards between SAP systems using Secure Network Communication (SNC) and SSL (Secure Socket Layer) technologies. • Design solution to protect data, filesystem and backup using encryption. • Analyze and apply SAP Security Hot News and Patches Qualifications and experience: • A minimum of 12 years of specific experience with SAP Basis and SAP Systems engineering technical work, including architectural roadmaps and end-to-end execution of upgrades, migrations, performance optimization and technical integration such as, but not limited to, SAP ECC, SRM, HANA, BW, SLT, BOBJ, PI, TM/EM, CRM, BPC, IBP, Fiori, Portal. • Experience shall include at least 5+ years of HANA administration [HA and DR]. • Experience shall include system sizing and performance optimization as well as the connecting points of the same with hardware and Infrastructure-related components. • Working experience of BTP Integration Suite, SAP Build Apps/Process Automation, Cloud connector • Working experience with VMWare and Linux. • At least one full life cycle S/4HANA implementation/migration experience of SAP Cloud solutions (PaaS/SaaS) including technical evaluation, roadmap planning (readiness/simplification remediation), architecture integration design, migration and deployment of SAP solutions to Cloud environment (AWS, GCP or Azure) • Security experience shall include hands on experience to architect authorization in Application and HANA DB layers along with managing audit requirements. End to End full SAP HANA life cycle security implementations experience would be a plus. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify® Employer.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

$60 - $120/hourpayBackend DevelopementAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Backend Engineer Job Type: Contract Location: Remote Job Summary: Join our customer's team as a Backend Engineer, where you'll architect and build robust, scalable backend systems powering innovative digital products. Collaborate with top-tier engineers in a dynamic, expert environment while driving forward the core technology infrastructure. This is a fantastic opportunity for backend specialists passionate about solving complex challenges and delivering high-impact solutions. Key Responsibilities: • Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements., • Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions., • Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences., • Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices., • Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers., • Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements., • Contribute to architecture discussions and decisions, bringing innovative ideas and a solutions-oriented mindset. Required Skills and Qualifications: • 3+ Years Proven expertise in backend development using modern programming languages., • Extensive experience designing and implementing RESTful APIs and microservices architectures., • Strong proficiency with relational and NoSQL databases, along with data modeling principles., • Deep understanding of system security, authentication, and authorization best practices., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Excellent written and verbal communication skills, with a collaborative and proactive approach., • Ability to thrive in a fast-paced, fully remote expert team environment. Preferred Qualifications: • Familiarity with event-driven or server less architectures., • Experience with CI/CD pipelines and automated testing frameworks., • Background in mentoring or technical leadership within backend teams.

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What you'll do: • Working with fellow Nava engineers to design, review, and build well-crafted software., • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems., • Working in an agile manner to efficiently ship new features that meet user needs., • Creating tools and processes to automate our development, testing, and production workflows., • Writing and reviewing technical documentation, performing code reviews., • Participating in an on-call rotation to support production systems and investigate issues when they occur., • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required Skills: • Open to Backend engineers., • At least 5 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms., • Experience developing applications with Python,‬ Fargate, Lambda,OpenAPI,‬ Fargate, Lambda., • Experience working with AWS Step Functions., • Experience utilizing AWS cloud native services and big data technologies such as Apache Spark and Parquet., • Tenacity to dive into problems and iterate in working code., • Highly resourceful, reliable, and detail-oriented., • Ability to think strategically around trade-offs and short term vs. long term benefits., • An adaptive, empathetic, collaborative and positive mindset., • Excellent written and verbal communication skills, technical and otherwise. \n$10,700 - $120,600 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Figma is growing our team of passionate people on a mission to make design accessible to all. ___, Figma helps entire product teams ___, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come ___ with us! At Figma, infrastructure is at the heart of everything we build. As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced infrastructure engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world. This is a full time role that can be held from one of our US hubs or remotely in the United States. • Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale., • Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration., • Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs., • Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems., • Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization., • Debug and resolve complex production issues that span services and layers of the stack., • Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence., • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.., • Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence., • Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration., • Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby., • Strong system design skills and a track record of architecting resilient production systems., • Excellent communication skills, with experience collaborating across teams and mentoring others., • Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka., • Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio)., • A history of developing complex, realtime distributed systems at scale., • A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems., • Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity., • Strong problem-solving skills and a bias for action—especially when tackling high-impact, gritty challenges. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range (SF/NY Hub): $149,000 - $350,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an ___ - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to ___. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: • Holding interviews in an accessible location, • Enabling closed captioning on video conferencing, • Ensuring all written communication be compatible with screen readers, • Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with ___.

Department: Data Science Reports to: Head of Data Science Location: Remote within Continental US Applications will be open through February 2026, with an anticipated start date in March 2026. Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met—just make sure to tell us why you’re excited about Funga! At Funga, we leverage cutting-edge data pipelines to manage large-scale genomic, ecological, and geospatial datasets. We are looking for a Data Engineer to join our team with a focus on Data & Delivery. At Funga, our data is only as valuable as it is accessible. Working alongside our Data Infrastructure Engineer, you will own the last mile of our data stack, engineering the pipelines, models, and interfaces that make our data actionable. You will have the autonomy to troubleshoot existing bottlenecks and build the new standards for how we ingest, validate, and deliver data across the entire organization, unlocking both business value and real climate and biodiversity impact. This is a great role for an engineer or solutions architect who is driven to bridge the gap between complex backend infrastructure, messy real-world data, and intuitive internal tools to catalyze the work of your teammates and drive tangible climate progress. • Engineer Data Delivery & Modeling, • Use SQL and Python to build the transformation layers (dbt) that turn raw datasets into clean, versioned, and performant models ready for analysis. Your work here will supercharge our modeling efforts., • Lead the implementation of internal data apps (Streamlit or similar). You'll build the windows into Funga's data, ensuring Growth and Land teams have high-visibility into carbon and biodiversity metrics, accelerating our sales, operations, and growth., • Geospatial Workflows: Architect workflows to manage the flow of complex vector and raster data, from QA/QC of messy field-collected boundary files to integrating high-resolution drone imagery to supporting mapping solutions for field teams., • Scale Quality & Operations, • Automated QA/QC: Engineer the automated validation pipelines that catch inconsistencies in genomic, geospatial, and tabular data before they reach downstream systems, with an eye toward continuous, measurable improvement., • Build and maintain containerized connectors (scripts, APIs, and services) that pull data from third-party applications like Survey123, ArcGIS, and Asana into our core infrastructure., • Act as a solutions architect for internal teams, ensuring that data is synced correctly across our ecosystem and that the data they see is accurate, timely and useful., • Cloud Engineering & Fundamental Data Infrastructure, • Build, deploy, and monitor your pipelines and apps using Docker and cloud-native services (AWS/GCP), • Serve as a peer-partner to the Data Infrastructure Engineer, collaborating on core database architecture and schema evolution to ensure seamless downstream integration., • 3+ years of experience as a Data Engineer, Solutions Architect, or similar experience, with strong experience with backend systems., • Advanced SQL proficiency. You know how to structure and utilize complex datasets for both performance and clarity., • Demonstrated ability to independently navigate cloud environments (AWS/GCP) and to deploy services and manage resources (S3, Lambda, ECS) while maintaining alignment with core infrastructure standards., • You write clean Python for data manipulation, automation, and internal tooling., • You treat internal teams as your customers. You are driven to build data-rich workflows and applications that solve real problems. You aren't a designer, but you take pride in building functional, reliable interfaces and data products that meet teams where they are and accelerate their work with clear insights., • Familiarity with geospatial data storage, and management tools and concepts (e.g. PostGIS, GDAL) is a major plus., • Familiarity with genomic sequence or ecological data management and modeling is a plus., • Pragmatic: You prefer simple, mature, and composable tools over heavy, managed platforms. You have a bias for creating value now versus perfection later., • NOTE - please apply if you feel you are qualified, but don't necessarily meet all of the above criteria!, • Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges—climate change., • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability., • Career growth: Be part of a pioneering company with opportunities for professional development and leadership., • Comprehensive Benefits: Participate in healthcare benefits and employee equity programs. The expected salary range for this role is $90,000 - $120,000, with actual salary based on qualifications and experience. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!

Hiring: Senior AI Engineer – Agentic AI & LLM Systems (Backend + Architecture) Locations: Jersey City, NJ | Dallas, TX | Menlo Park, CA | Seattle, WA (Onsite) Full-Time $150K – $200K Base + Bonus We are seeking a hands-on Senior AI Engineer to design, build, and deploy production-grade agentic AI systems at scale. This role requires a strong combination of backend engineering, LLM system design, and architectural thinking. This is an individual contributor role for engineers who can not only build systems but also clearly articulate high-level design, tradeoffs, and production considerations. What You’ll Do: • Design and implement end-to-end AI systems, including ingestion, retrieval, orchestration, and evaluation layers, • Build and deploy multi-agent AI systems (planning, reasoning, tool usage, coordination), • Develop scalable backend services and APIs for AI-driven applications, • Architect RAG pipelines and hybrid retrieval systems for enterprise use cases, • Define and implement LLMOps practices, including evaluation frameworks, monitoring, and observability, • Optimize systems for latency, scalability, cost, and reliability, • Integrate AI systems with cloud infrastructure, distributed systems, and enterprise platforms, • Collaborate with cross-functional teams to translate business needs into scalable AI solutions Required Qualifications: • 8–15 years of experience in software engineering, AI/ML engineering, or platform engineering, • Strong programming skills in Python (required), • Proven experience building production-grade distributed systems and APIs, • Hands-on experience with LLMs and GenAI systems in production environments MUST-HAVE SKILLS: • Experience designing and building multi-agent AI systems (LangGraph, CrewAI, AutoGen, MCP, or similar), • Strong understanding of LLM system architecture, including orchestration, memory, retrieval, and tool usage, • Experience with RAG pipelines, vector databases, and hybrid retrieval strategies, • Experience implementing LLM evaluation frameworks (LLM-as-judge, hallucination detection, benchmarking), • Strong knowledge of cloud platforms (AWS preferred) and distributed systems (Kubernetes, Docker), • Experience with event-driven architectures (Kafka, streaming pipelines, async processing) Preferred Qualifications: • Experience building enterprise-scale AI platforms, • Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry), • Exposure to financial services or regulated environments, • Experience explaining system design and tradeoffs to both technical and non-technical stakeholders Not a Fit If: • You are primarily a data scientist or research-focused ML engineer, • Limited experience with production system design and deployment, • Experience is limited to POCs, demos, or basic chatbot/RAG implementations, • Primarily focused on people management or high-level strategy without hands-on coding This role is ideal for engineers who can design, build, and explain production AI systems end-to-end — combining deep technical execution with strong system-level thinking.

Job Summary: This role is for a member of the MUFG Bank Enterprise Network Engineering and Operations team and will provide collaboration and support within the team and across IT to ensure that load balancing and DNS infrastructures are up and running 24x7, support corresponding projects, and provide sound engineering with best redundant architectures and practices. The job is pivotal in supporting load balancing of on-prem and AWS hosted mission critical applications and core Domain Name Services for the financial institution. The ideal candidate will proactively review current infrastructure architecture, engineer future cloud migration projects, and ensure that sound security controls and high availability are embedded across the infrastructure lifecycle. Responsibilities: • Maintain the organization's DNS / DHCP infrastructure, including installing, configuring, upgrading and managing DNS servers and zones in-house and AWS., • Designing, configuring, managing and troubleshooting DNS infrastructure using services like Amazon Route 53 and its related tools, such as the DNS Firewall, to ensure scalable, secure, and reliable domain name resolution and traffic management for cloud environments. Responsibilities include configuring and managing public and private hosted zones, record sets, implementing various routing policies, and ensuring high availability through health checks and failover mechanisms., • Record management: Create, update, and manage DNS records (A, CNAME, MX, TXT) for various systems, including web, email, and other network and applications services., • Maintain comprehensive records of DNS/F5 architecture diagrams, IP schema etc., • Assist with domain registration, transfers, and renewals, • Manage domain security features for customers, such as domain privacy protection and domain locking., • Understanding of SSL/TLS, security protocols, and certificate management, • Be able to provide 24x7 on call rotation for DNS/f5 related issues., • Address security vulnerabilities and patching for both DNS and F5 load balancing environments in-house and in AWS environments. Qualifications: • BS Degree in Computer Science or related technical area preferred., • 7-10+ years’ hands on experience with design/implement/configure/maintain enterprise-level DNS, F5, AWS route 53 and AWS load balancing infrastructures., • AWS Certified Solutions architect and AWS Certified Advanced Networking are a must., • Infoblox DNS / DHCP / IPAM / Threat Defense product hardware and configurations hands on experience a must., • F5 LTM/GTM virtual hardware and configurations including iRules hands on experience a must., • Hands on proficiency with AWS load balancing services - AWS ALB / ELB / NLB / CLB / GLB, • Hands on knowledge of tools like Ansible, CloudFormation or Terraform to automate DNS provisioning, configuration, and updates in AWS route 53 and load balancing environments., • Understanding of SSL/TLS, security protocols, and certificate management, • Strong communications skills are a must., • Strong project management skills are a must., • In depth knowledge of scripting with python, PowerShell preferred Education: Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Job Title: Agentic AI Data Engineer Hybrid: Jersey City,NJ Job Type: FullTime Max Budget : $150K Total Experience required : 5-10 Years Role Overview We are seeking a highly skilled Agentic AI Data Engineer to design, build, and optimize intelligent, autonomous data systems that power next-generation AI applications. This role blends data engineering, machine learning infrastructure, and emerging agent-based AI frameworks to enable scalable, self-orchestrating pipelines and decision-making systems. You will work at the intersection of data platforms, large language models (LLMs), and cloud-native architectures—building systems that can reason, act, and adapt autonomously. Key Responsibilities · Design and implement agentic AI systems that autonomously orchestrate data workflows and decision pipelines · Build scalable data pipelines for structured and unstructured data (batch + real-time) · Develop and manage LLM-powered applications using retrieval-augmented generation (RAG), tool use, and multi-agent frameworks · Integrate AWS AI/ML services into production-grade architectures · Develop and optimize data lakes, warehouses, and lakehouse architectures · Build APIs and microservices to expose AI/ML capabilities · Ensure data quality, governance, and security across pipelines · Collaborate with data scientists, ML engineers, and product teams to deploy AI solutions · Implement monitoring, logging, and observability for AI agents and pipelines · Optimize cost and performance of cloud-based AI workloads Required Technical Skills Cloud & AWS Ecosystem · Strong experience with AWS services, including: o Amazon S3, Glue, Lambda, Step Functions o Amazon Redshift / Athena o Amazon SageMaker (training, deployment, pipelines) o Amazon Bedrock (foundation models, agents, knowledge bases) AI/ML & Agentic Systems · Experience with LLMs and generative AI systems · Hands-on with agent frameworks (e.g., multi-agent orchestration, tool calling, planning systems) · Familiarity with AgentCore / agent orchestration platforms · Understanding of RAG architectures, embeddings, and vector databases · Experience with model deployment, inference optimization, and prompt engineering Data Engineering · Strong proficiency in Python and SQL · Experience with ETL/ELT tools and frameworks · Distributed data processing (Spark, PySpark, or similar) · Streaming technologies (Kafka, Kinesis, or similar) · Data modeling and schema design Data & AI Infrastructure · Experience with vector databases (e.g., Pinecone, FAISS, OpenSearch) · Knowledge of data lakehouse architectures (Delta Lake, Iceberg, Hudi) · Containerization (Docker) and orchestration (Kubernetes) · CI/CD for ML and data pipelines Preferred Qualifications · Experience building autonomous AI agents for enterprise use cases · Knowledge of multi-agent collaboration systems and planning algorithms · Familiarity with LangChain, LlamaIndex, or similar frameworks · Experience with MLOps and LLMOps practices · Understanding of graph-based workflows and knowledge graphs · Exposure to real-time AI systems and event-driven architectures Soft Skills · Strong problem-solving and system design skills · Ability to work in fast-paced, evolving AI environments · Effective communication and cross-functional collaboration · Curiosity and adaptability to emerging AI technologies Education & Experience · Bachelor’s or Master’s degree in Computer Science, Engineering, or related field · 4+ years of experience in data engineering or ML engineering · Hands-on experience with production-grade AI/ML systems Nice-to-Have · Experience with reinforcement learning or planning systems · Background in distributed systems design · Contributions to open-source AI/data projects · Certifications in AWS (e.g., Solutions Architect, Machine Learning Specialty) What You’ll Build · Autonomous data pipelines that self-heal and optimize · AI agents capable of reasoning over enterprise data · Scalable LLM-powered applications integrated with business workflows · Intelligent systems that move beyond automation into decision-making For more information on benefits and what we offer please visit us at ___

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Job Title : Java Architect Location : Jersey City NJ Duration : Fulltime Job Description : Java Expert (Java 17+, Hands-on) Role Overview: We are looking for a hands-on Java Expert with deep expertise in Java 17+, Microservices, and Cloud-native architectures. This role requires a strong blend of technical leadership, system design, and hands-on coding, along with the ability to drive scalable, resilient enterprise solutions. Key Responsibilities 1. Architecture & Design Define end-to-end architecture for enterprise applications using Java 17+ Design scalable microservices-based systems Create high-level and low-level design (HLD/LLD) documents Ensure alignment with business goals and technology strategy 2. Hands-on Development Write and review production-grade code using: Java 17+ Spring Boot / Spring Cloud Implement: REST APIs Event-driven systems (Kafka) Contribute to critical modules and performance optimization 3. Cloud & DevOps Architect and deploy solutions on: AWS / Azure / GCP Work with: Docker & Kubernetes CI/CD pipelines (Jenkins, GitHub Actions, etc.) Ensure high availability, scalability, and observability 4. Microservices & Integration Design: API Gateway patterns Service discovery Circuit breakers (Resilience4j) Work on: Messaging systems (Kafka / RabbitMQ) Distributed systems & eventual consistency 5. Leadership & Stakeholder Management Mentor developers and technical leads Collaborate with: Product owners Business stakeholders Delivery teams Drive technical governance and best practices Required Skills: Core Technical Skills Strong expertise in Java 17+ features: Records, Sealed Classes, Streams, Functional Programming Deep knowledge of: Spring Boot & Spring Cloud Microservices architecture RESTful API design Experience: 10–15+ years in software engineering 3–5+ years as Architect / Lead Architect Proven experience in large-scale enterprise systems

Job Title: AWS Data Engineer Duration: 7 months (Possibility of extension) Location: Hybrid (Newark, NJ)/ W2 Only Job Summary: We are seeking an experienced AWS Data Engineer to join our Data Engineering team. As a technical leader, you will be responsible for architecting, implementing, and managing scalable data solutions on AWS. You will provide technical guidance to a team of data engineers, collaborate with cross-functional partners, and ensure best practices in cloud data engineering. Key Responsibilities: • Lead the design, development, and optimization of large-scale, reliable, and secure data pipelines and data lake architecture on AWS., • Architect and implement end-to-end data solutions, including data ingestion, storage, transformation, and analytics using AWS services (Glue, Redshift, S3, Lambda, EMR, Kinesis, Athena, RDS, etc.)., • Mentor and guide a team of data engineers, conducting code reviews and fostering best practices in data engineering and cloud architecture., • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable and maintainable solutions., • Oversee migration of data from legacy systems to AWS-based data lakes and data warehouses., • Develop and enforce standards for data quality, security, and governance., • Drive the adoption of DevOps, CI/CD, and infrastructure-as-code practices within the data engineering team., • Ensure solutions are cost-effective, performant, and aligned with enterprise data strategy., • Stay current with advancements in AWS technologies and data engineering trends and evaluate new tools and frameworks for potential adoption., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role., • Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.)., • Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus., • Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS., • Proven experience with ETL/ELT processes, data modeling, and big data frameworks., • Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment., • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform)., • AWS Solutions Architect or AWS Data Engineer certification., • Experience with real-time streaming technologies., • Knowledge of data governance, compliance, and security best practices., • Familiarity with Lakehouse architecture and modern data platforms.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Strong understanding of cloud computing concepts and technologies, such as AWS, Azure, or Google Cloud. Relevant certifications, such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect, are a plus.

Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. When applying, please include a description of why you’re interested in this role. What You'll Do • Execute: Craft clean, testable, and maintainable code., • Deliver: Own the software from requirements development through deployment and maintenance., • Operationalize Data: Architect, optimize, and maintain databases to ensure reliability and performance, • Architect: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices, • Safeguard Data: Ensure compliance with healthcare data regulations (e.g., HIPAA, HITRUST) What We're Looking For • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience, • Minimum 5 years of dedicated professional experience in backend or full stack engineering, ideally in a startup or fast-paced environment., • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, • Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB), • Proficiency in designing RESTful and GraphQL APIs, • Hands-on experience with test automation, CI/CD, and DevOps best practices, • Strong knowledge of system architecture, scalability, and performance optimization, • Experience with authentication, security best practices, and API design patterns, • Ability to work independently and make high-impact technical decisions, • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. Why Join Us • Competitive salary and equity in an early-stage startup. The starting salary for this role is between $150K - $175K annually dependent upon factors such as: cost of living, experience, etc., • Opportunity to define the technical solution from the ground up, • Possibly fully remote work environment with flexible hours, • Health benefits, learning stipends, and professional development support, • A collaborative and transparent company culture that values creativity and ownership Equal Opportunity Statement At Karoo Health Inc (“Karoo”), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more. Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind. Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond. We’re committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all. Karoo Health welcomes all. In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health’s benefits, please contact our ___.

About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients’ hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that’s not who we are – that’s just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. Position Summary We’re looking for a Senior Engineer to lead complex initiatives and elevate our managed services ___ you thrive on solving complex problems, building scalable solutions, and mentoring others, this role offers the opportunity to make an immediate impact in a fast-growing team. • Hands-on engineering work, including developing new deployments, automation scripts, and tooling to meet client deliverables focused on vulnerability management, infrastructure updates, and compliance requirements., • Develop and maintain Infrastructure-as-Code (IaC), utilizing Coalfire standard modules for Terraform, Ansible, and CI/CD pipelines across projects., • Partner with Technical Managers and engagement leads to evaluate risks, prioritize issues, and develop actionable mitigation plans across an SRE team’s portfolio of M&O clients., • Contribute to technical playbooks, standards, and frameworks for operational excellence in managed services delivery., • Own the patch management strategy for assigned environments, ensuring regulatory compliance and timely remediation of vulnerabilities., • Oversee Identity and Access Management (IAM), implementing and enforcing security best practices to protect sensitive data and ensure proper access controls., • Perform cloud administration and system administration tasks, such as provisioning resources, optimizing performance, and troubleshooting infrastructure issues., • Adhere to established quality standards for engineering deliverables, aligning with internal protocols, compliance regulations, and project deadlines., • Identify and communicate potential risks, working with relevant stakeholders to incorporate mitigation strategies that meet regulatory and client expectations., • Contribute to day-to-day agile project management tasks, including tracking progress, providing updates, and ensuring assigned activities are completed on schedule., • Mentor junior engineers, review their work, and help mature engineering practices., • 5–7 years in systems engineering/SRE with increasing responsibility, including architecture design, operations, and automation., • 4+ years in cloud infrastructure management (AWS, Azure, or GCP) with multi-account and multi-environment experience., • 4+ years developing and maintaining IaC with Terraform/Ansible at scale., • Direct experience leading at least 1 operational improvement (e.g., reducing toil, enhancing SLAs, improving incident response)., • Possess AWS Solutions Architect Professional certification, • Demonstrated experience driving at least 1 successful team initiative and serving as the technical SME for a complex initiative., • Advanced Cloud Expertise: Strong hands-on experience with a major public cloud (AWS, Azure, or GCP), including architecture, security, and performance optimization., • IaC Leadership: Deep understanding of Terraform, and modern CI/CD automation practices; capable of reviewing and improving team IaC workflows., • Operational Excellence: Ability to lead troubleshooting of high-impact incidents, implement monitoring solutions, and improve system reliability., • Security-First Mindset: Experienced in aligning engineering solutions with frameworks such as FedRAMP, CIS, and NIST., • Collaboration & Leadership: Proven ability to lead cross-functional projects, mentor team members, and influence stakeholders., • Documentation & Communication: Skilled at creating technical documentation, architecture diagrams, and presenting complex solutions clearly to both technical and non-technical audiences., • Manage and maintain Windows and Linux server environments, including system hardening, GPO configuration, user management, OS-level troubleshooting, and ensuring consistent patching across hybrid environments., • US citizenship (required due to client contractual requirements), • Advanced or specialty cloud certifications (for example, AWS DevOps Engineer), • CISSP (Certified Information Systems Security Professional) or comparable cybersecurity certification, • Modern Architecture Expertise: Serverless, containers (Docker/Kubernetes), microservices, and event-driven systems., • Tools: Familiarity with Visio, LucidChart, Jira, or similar platforms for diagramming and project coordination, • Compliance-Driven Engineering: Prior work in regulated industries (FedRAMP, HIPAA, PCI), • Exposure to large-scale or high-availability production environments (24x7), • Familiarity with encryption, PKI, and security baselines (for example, FIPS 140-2, CIS Benchmarks, DISA STIG), • Previous experience in technical consulting engagements or cross-functional collaboration (for example, with security teams, compliance teams)

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What You'll Do: • Lead a team of 6 engineersWorking with fellow Nava engineers to design, review, and build well-crafted software., • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems., • Working in an agile manner to efficiently ship new features that meet user needs., • Creating tools and processes to automate our development, testing, and production workflows., • Writing and reviewing technical documentation, performing code reviews., • Participating in an on-call rotation to support production systems and investigate issues when they occur., • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required Skills: • Open to Fullstack engineers., • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms., • At least 3 years of experience leading and mentoring engineering teams., • At least 3 years of experience working with AWS Experience building large scale data services with FHIR/HL7 in healthcare., • Experience with a broad range of technologies including Angular (Typescript), Storybook, Apache server, Go, Java, Python, Spring Boot, OpenAPI,‬ Fargate, Lambda, Jenkins, Github Actions., • Experience with big data technologies such as Apache Spark and Databricks., • Tenacity to dive into problems and iterate in working code., • Equal parts systems thinker and advocate for users., • Highly resourceful, reliable, and detail-oriented., • Ability to think strategically around trade-offs and short term vs. long term benefits., • An adaptive, empathetic, collaborative and positive mindset., • Excellent written and verbal communication skills, technical and otherwise. \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

DevOps, Cloud Engineering, or Site Reliability Engineering (SRE). Solid expertise in CI/CD pipeline implementation (GitHub Actions, Jenkins, AWS CodePipeline, etc. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architect

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Sr. Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n What you'll do • Working with fellow Nava engineers to design, review, and build well-crafted software, • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems, • Working in an agile manner to efficiently ship new features that meet user needs, • Creating tools and processes to automate our development, testing, and production workflows, • Writing and reviewing technical documentation, performing code reviews, • Participating in an on-call rotation to support production systems and investigate issues when they occur, • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed Required skills • Open to Fullstack engineers At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on Cloud platforms, • Experience building web applications with Angular (Typescript), Storybook, Apache server, • Experience developing Lambda services and APIs Java and Go, Spring Boot, Python,‬ Fargate, OpenAPI, • Experience utilizing AWS cloud native services and data engineering, • Tenacity to dive into problems and iterate in working code, • Highly resourceful, reliable, and detail-oriented, • Ability to think strategically around trade-offs and short term vs. long term benefits, • An adaptive, empathetic, collaborative and positive mindset, • Excellent written and verbal communication skills, technical and otherwise Desired skills • Experience using Apache Spark and Parquet for data engineering, • Experience with ___ and ___ (Javascript) \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

Full-stack engineers with a frontend tilt are very welcome, especially those comfortable collaborating across API design, backend systems and cloud platforms (GCP, AWS, etc. Frontend / Full-Stack Engineer. Architect scalable front-end solutions that allow us to efficiently launch new portals.

At Rezilient, we’re redefining primary care by making access to healthcare more convenient, timely, and seamless. Our innovative CloudClinic model combines virtual provider visits with cutting-edge technology to create a personalized digital healthcare experience that puts patients at the center of their care. By streamlining care delivery and continuously expanding specialty services, we empower our care team to focus on patient well-being while providing the most comprehensive and accessible care possible. Rezilient Health is seeking a skilled, detail-oriented Data Engineer to architect and run the data backbone behind our mission. You’ll partner with operations, clinical, and engineering leaders to turn fragmented healthcare data into trustworthy, near-real-time insights that shorten time-to-care and keep patients at the center. You’ll design scalable batch and streaming pipelines into a secure, compliant data platform, model reliable core domains, and publish well-documented datasets that power patient and provider experiences. Your work will enable cutting-edge analytics and reporting, directly improving our care delivery and operational efficiency. Key Responsibilities: • Design, build, and maintain data pipelines that ingest, process, and transform data from various sources, including clinical operations, patient interactions, and system performance., • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and enable reliable, data-driven product features and insights, • Develop and manage the data infrastructure, including databases, data lakes, warehouses, and ETL processes., • Optimize query performance and storage strategies to handle large, complex datasets, • Ensure data integrity, accuracy, and security across all stages of the data lifecycle, and support compliance with healthcare regulations (e.g., HIPAA)., • Implement best practices in data modeling, database design, and data architecture to support robust analytics and reporting capabilities, as well as downstream ML / AI applications., • Create and maintain documentation for data engineering processes and pipelines., • Stay current with industry best practices and emerging technologies in data engineering and architecture. Required Qualifications: • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field., • 3+ years of experience in data engineering, analytics, or a related role., • Strong proficiency in SQL and experience working with large-scale databases and data warehouses., • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehouse solutions (e.g., Redshift, BigQuery, Snowflake)., • Proficiency in programming languages such as Python or Scala for data processing and analysis., • Familiarity with ETL frameworks and tools like Apache Airflow, dbt, or similar., • Strong understanding of data governance, data quality, and healthcare compliance and security best practices., • Ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. Preferred Qualifications: • Experience in the healthcare industry or working with healthcare-related datasets (e.g., clinical and/or claims data) and data interchange standards (e.g., HL7, FHIR, X12)

Location: Remote Type: Full-Time **We will only consider candidates who are located in Latin America At tapouts, we believe in the boundless potential of every child. Our mission goes beyond teaching skills; we are dedicated to nurturing the emotional and psychological well-being of the next generation. Imagine being part of a team that transforms the lives of a million children and their families. By joining tapouts, you are not just taking on a job but using your talents for a deeply rewarding cause. We are looking for a Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data infrastructure that powers our analytics, AI initiatives, and business operations. This is a hands-on role for someone who thrives in fast-paced environments, thinks like a platform architect, and is passionate about building data systems that matter. • Design, build, and maintain robust, scalable data pipelines (batch and real-time/streaming)., • Design and develop dashboards that surface key business metrics and enable strategic, data-informed decision-making., • Develop and optimize complex SQL queries, stored procedures, and data models, • Write clean, production-grade Python code for data ingestion, transformation, and automation, • Build and manage cloud-native data infrastructure on AWS, GCP, or Azure, • Implement and maintain data lakehouse architectures (e.g., Delta Lake, Apache Iceberg), • Support ML workflows including feature engineering, model training pipelines, and MLOps integration, • Ensure data quality, governance, and lineage tracking across all data assets, • Collaborate with data scientists and analysts to deliver trusted, well-documented datasets, • Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency, • Contribute to the development of internal data platform tools and frameworks, • Apply data governance best practices and ensure compliance with data privacy regulations (GDPR, LGPD), • A platform-first mindset — you think beyond individual pipelines and consider ownership, reliability, and long-term maintainability, • A data-driven approach — you use metrics to measure pipeline health and continuously improve, • Strong communication skills — you can collaborate with technical and non-technical stakeholders, • Comfort working in ambiguous, fast-moving environments and bringing structure to chaos, • 5+ years of experience in data engineering or a related field, • Strong proficiency in SQL — writing complex queries, optimizing performance, and data modeling, • Strong proficiency in Python — building ETL/ELT pipelines, scripting, and automation, • Experience with cloud platforms: AWS, GCP, or Azure, • Hands-on experience with data orchestration tools (Apache Airflow, Prefect, or similar), • Experience with big data frameworks (Apache Spark, Kafka, Flink, or similar), • Familiarity with data warehousing solutions (Snowflake, BigQuery, Redshift, or similar), • Strong understanding of data modeling, schema design, and data architecture principles Nice to Have: • Experience with dbt (data build tool) and the modern data stack, • Familiarity with streaming and event-driven architectures, • Knowledge of MLOps and AI pipeline support, • Experience with data mesh or data platform engineering Join us in our mission to empower children with the social and emotional skills they need to succeed!

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets. • Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience., • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data., • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products., • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication., • Translate complex analytics and business questions into actionable, production-grade data solutions., • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products., • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure)., • Ensure data quality, integrity, and security across all stages of the data lifecycle., • Mentor and provide technical guidance to junior data engineers and team members., • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership., • Proactively recommend and implement improvements to existing data infrastructure and software programs., • Stay current with industry trends and emerging technologies in geospatial data engineering., • An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes., • Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data., • Experience building solutions with Python., • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation., • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure)., • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka., • Experience integrating with API-driven, service-to-service web services., • Demonstrated ability to lead projects, mentor team members, and drive technical decisions., • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively., • Excellent organizational, interpersonal, and communication skills., • Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely)., • Experience deploying and scaling machine learning (ML) models/algorithms in production., • Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles)., • Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms., • Experience working with LiDAR data and deriving real-world insights from point clouds., • Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms., • Experience with data streaming, real-time data processing, or cloud-native geospatial solutions., • Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics)., • Experience with OAuth, authentication, and API key management for secure service-to-service communication.

PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. We are a boutique firm, where each person’s contributions and ideas are critical to the growth of the company. This is a fully remote position, open to candidates living in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. We are seeking a candidate with experience as, or applicable to, a Senior Data Engineer role with significant demonstrated experience using Python in a cloud environment to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. The Senior Data Engineer is critical in building the data infrastructure that powers Plum’s next-generation AI-driven products. You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, you’ll take ownership of architectural decisions, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful. • Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the Delta Lakehouse., • Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources., • Develop robust data workflows using Python and Databricks Workflows., • Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control., • Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases., • Monitor, troubleshoot, and optimize data workflows in production., • Collaborate with cross-functional teams to translate data needs into scalable solutions., • Bachelor's Degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience., • 2+ years of experience using Python building and maintaining production-grade data pipelines in a cloud environment., • Proven expertise in Python and SQL for data engineering tasks., • Strong understanding of lakehouse architecture and data modeling concepts., • Experience working with Databricks, Delta Lake, and Apache Spark., • Hands-on experience with AWS cloud infrastructure., • Track record of integrating data from external systems, APIs, and databases., • Strong problem-solving skills and ability to lead through ambiguity., • Excellent communication and documentation habits., • Masters in Computer Science, Engineering, Physics or related field., • Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains., • Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models., • Experience using ETL tools such as Fivetran or Airbyte., • Understanding of data governance, security, and compliance best practices., • A fast-paced, collaborative startup culture with high visibility., • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action., • Opportunity to make a meaningful impact in building a company and culture., • Equity in a financial technology startup., • Generous health, dental, and vision coverage for employees and family members + 401K., • Eleven paid holidays and unlimited discretionary vacation days., • Competitive compensation and bonus potential. Interview Process: Plum is an organization who counts on the contributions and ideas from every member of our team. Our interview process may include a phone screen, a video call and a live project. While we understand one may use AI to develop a resume, we expect you to bring your authentic self during our interviews, and we may disqualify candidates who use bots or AI to contribute to their answers. We are looking for not only skill, but also a desire to learn and thrive with Plum. Please advise us of any accommodations you may need prior to your call and we will do all we can to accomodate you. *We are not accepting outreach or resumes from external recruiters. We are only accepting qualified eligible applicants directly for consideration. Any candidates submitted from agencies or recruiters will be considered a gift.

Are you excited by the idea of building fast, reliable, and intelligent infrastructure for a product used by engineering teams around the world? We’re looking for a Senior Site Reliability Engineer to join the Backstage team at Spotify. We’re building the next generation of our developer platform — one that doesn’t just manage software, but actively helps create and maintain it through AI-native workflows. In 2026, SRE isn’t just about uptime; it’s about symbiosis. As part of our growing engineering team, you’ll design, build, and operate the cloud infrastructure behind our external developer portal product and our internal fleet of background coding agents. You’ll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems. Backstage is more than just a platform — it’s a foundational force in the developer community. Born out of Spotify’s quest for better developer tooling, Backstage now powers developer portals across the globe. But we didn’t stop at catalogs and templates. Today, Backstage is becoming the command center for AI-native engineering. From enterprises orchestrating large-scale migrations to fast-moving teams using AI to improve velocity and quality, our solutions are redefining what great developer experience looks like. As part of the Backstage team, you’ll shape developer experience for companies large and small, for our thriving open-source community, and for Spotify itself. You’ll help define how reliable, secure infrastructure enables the next wave of agentic developer tooling. • Own fleet reliability. Lead the reliability, security, and scalability strategy for Portal’s SaaS infrastructure, including the runtime environments that power our platform and LLM-driven agent workflows. Define SLOs, drive capacity planning, and ensure our systems meet the demands of a rapidly growing product., • Architect for the agentic era. Design and evolve infrastructure on GCP and AWS using Terraform and infrastructure-from-code patterns. Shape how we structure environments for non-deterministic AI workloads — including sandboxing, resource isolation, cost governance, and security boundaries., • Drive operational excellence. Evolve our incident management, on-call, and postmortem practices. Leverage AI assistants to accelerate root cause analysis and build increasingly self-healing capabilities into our production systems., • Lead fullstack reliability. Operate across a modern web stack (TypeScript, React, Python). While not frontend-heavy, you’ll diagnose and resolve issues across the stack and drive reliability improvements end-to-end., • Mentor and multiply. Raise the reliability IQ of the broader engineering team. Establish SRE best practices, conduct production-readiness reviews, and mentor engineers on operational thinking., • Shape the roadmap. Partner with engineering and product leadership to evolve our infrastructure in step with generative AI features. Translate operational insights into strategic input on the product roadmap., • You have 5+ years of hands-on experience operating cloud infrastructure (GCP and/or AWS), using Terraform and Kubernetes to run production systems at scale., • You have practical experience — or a strong demonstrated interest — in operating LLM-based systems, RAG pipelines, or agentic workloads, and understand the reliability challenges of non-deterministic systems., • You think in distributed systems first principles — consistency, availability, partition tolerance — and translate that thinking into pragmatic infrastructure decisions., • You are proficient in at least one modern language (TypeScript, Java, Go, or Python) and comfortable navigating large, heterogeneous codebases, including environments where AI-generated PRs are common., • You build automation and improve systems so that whole categories of operational issues disappear over time., • You communicate complex infrastructure trade-offs clearly to both technical and non-technical stakeholders, and you write postmortems that lead to meaningful change., • This role is based in New York, NY.

Title: Lead Solutions Engineer - Data Marketplace Duration: 6 months Location: Remote Role Summary We are seeking a Solutions Engineer with strong Informatica platform experience and deep automation and integration engineering expertise to design, architect, and deliver end-to-end solutions that enable an enterprise data marketplace and broader data platform capabilities. This role is hands-on and cross-cutting, requiring the ability to architect solutions both within Informatica-including metadata, catalog, integration, governance, data quality, and automation capabilities-and outside of Informatica, integrating with cloud platforms, data engineering ecosystems, analytics tools, and AI-enabled services. The role requires broad technical depth, strong architectural judgment, and a focus on building automated, scalable, and resilient integrations. You will partner closely with product managers, platform teams, data engineers, security, governance, and business stakeholders to evolve the data marketplace and supporting enterprise data services. Key Responsibilities Solution Architecture & Design • Architect end-to-end data marketplace and data platform integrations spanning Informatica products and non-Informatica enterprise tooling., • Design scalable, secure, and reliable architectures with an automation-first and integration-by-design mindset., • Define reference architectures, integration patterns, and extensibility models for marketplace, metadata, governance, and data product use cases. Informatica Platform Enablement, • Design and implement solutions using Informatica capabilities such as data integration, metadata management, data catalog, governance, data quality, and automation services., • Configure and extend Informatica platforms to enable automated data product onboarding, discovery, lineage capture, access workflows, and marketplace interactions., • Partner with Informatica product and professional services teams to close functional gaps, extend platform capabilities, or enable bespoke integrations when required. Automation & Integration Engineering, • Design and build automated integrations across Informatica and enterprise platforms using APIs, events, workflows, and orchestration frameworks., • Enable automation across the data product lifecycle, including onboarding, metadata synchronization, lineage propagation, access provisioning, and de-provisioning., • Build reusable integration components and automation frameworks that reduce manual effort and improve reliability and consistency., • Apply infrastructure-as-code, configuration-as-code, and workflow automation patterns where appropriate. Marketplace & Platform Development, • Lead the design and evolution of internal data marketplace services, APIs, and supporting platform components., • Build and validate proof-of-concepts to de-risk architectural decisions and demonstrate business and platform value., • Support platform extensibility for future use cases, including analytics enablement, AI/ML workflows, agent-driven consumption, and governance integrations. Cross-Functional Collaboration, • Translate business, governance, and platform requirements into automated, implementation-ready technical designs., • Collaborate with data engineering, cloud engineering, security, and governance teams to ensure alignment with enterprise standards., • Act as a technical bridge between platform teams, marketplace consumers, and external vendors. Engineering Excellence & Leadership, • Establish and promote best practices for solution design, automation, performance, security, observability, and reliability., • Provide technical guidance and mentorship to engineers across marketplace, platform, and integration initiatives., • Participate in architectural reviews, technical decision-making, and roadmap planning. Required Skills & Qualifications, • 6+ years of experience designing and delivering enterprise-grade solutions in distributed, cloud-based environments., • 3+ years of hands-on experience architecting and implementing solutions using Informatica platforms, including data integration, metadata management, data catalog, governance, data quality, and automation., • 3+ years of experience in cloud platforms (e.g., AWS, Azure, or equivalent), designing and integrating data and platform services in cloud-native or hybrid environments., • 3+ years of experience in automation and systems integration, including API-based integrations, workflow orchestration, and event-driven architectures., • Demonstrated ability to design solutions that span multiple systems and vendors, not confined to a single platform., • Experience taking solutions from concept and prototype through production in complex enterprise environments., • Strong problem-solving skills with the ability to operate effectively in ambiguous, evolving problem spaces., • Excellent communication skills, with experience explaining complex technical concepts to both technical and non-technical stakeholders. Preferred Qualifications, • Experience with data marketplaces, data products, or enterprise platform enablement initiatives., • Familiarity with governance, access control, metadata, lineage, data contracts, or policy-driven automation., • Experience integrating analytics platforms, semantic layers, or AI/ML workflows with data platforms., • Prior experience in a solutions engineer, platform architect, or technical lead role., • Strong interest in automation, developer enablement, and continuous platform improvement.

This role is for one of the Weekday's clients Min Experience: 6 years Location: USA, Bay Area, New York City JobType: full-time We are seeking an experienced Python Developer with deep expertise in workflow orchestration frameworks including Celery and Temporal, to join our high-performance engineering team. This role requires strong backend development capabilities, hands-on experience building scalable distributed systems, and the ability to design resilient, fault-tolerant workflows that power complex business processes. The ideal candidate is a self-starter who enjoys solving challenging problems, thrives in fast-paced product environments, and can collaborate effectively across cross-functional teams. • Design, develop, and maintain backend services using Python with a focus on performance, reliability, and maintainability., • Build and implement distributed task execution and workflow orchestration pipelines using Celery, Temporal, or similar frameworks., • Architect scalable workflow solutions and event-driven systems capable of handling high-volume transactions and asynchronous processing., • Optimize task scheduling, worker management, queue handling, and checkpointing strategies to ensure high availability., • Write clean, testable, reusable, and efficient code following engineering best practices and internal guidelines., • Collaborate with product managers, architects, SRE teams, and other developers to translate business requirements into engineering solutions., • Integrate workflows with external systems, including microservices, message queues (e.g., Kafka, RabbitMQ, SQS), databases, and APIs., • Manage production deployments, monitor service health, troubleshoot complex issues, perform root-cause analysis, and improve reliability metrics., • Maintain documentation including workflow diagrams, technical designs, system architecture details, and knowledge-base records., • Mentor junior engineers, participate in peer code reviews, and contribute to continuous improvement initiatives., • Stay updated with new technologies in workflow orchestration, distributed computing, cloud platforms, and process automation., • 6–13 years of professional software development experience, with a strong focus on backend development., • Expertise in Python including asynchronous programming, concurrent execution, multiprocessing, and performance tuning., • Strong hands-on experience in Celery and/or Temporal, including workflow creation, signal handling, retry logic, and DAG-based orchestration., • Solid understanding of distributed systems, microservices, event-driven architecture, and message queueing concepts., • Experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Cassandra., • Experience integrating and deploying services using Docker and Kubernetes is a strong advantage., • Familiarity with logging, observability, monitoring tools (Grafana, Prometheus, ELK/EFK, OpenTelemetry)., • Strong understanding of design patterns, software architecture principles, API development, and performance optimization., • Ability to work independently, make technical decisions, and manage priorities in dynamic environments., • Strong analytical thinking, problem-solving skills, and excellent communication ability., • Prior experience in workflow orchestration for large-scale data processing or automation platforms., • Cloud experience (AWS, GCP, or Azure) including serverless or container-based deployments., • Experience with CI/CD pipelines and DevOps best practices., • Exposure to fault-tolerant distributed frameworks or data streaming tools.

Utilidata is a fast-growing NVIDIA-backed edge AI company enabling greater visibility and control of power utilization in energy-intensive infrastructure, like the electric grid and data centers. Karman, the company’s distributed AI platform powered by a custom NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. The role will build and maintain infrastructure across on-premises and cloud environments - bridging edge deployments with cloud-based data processing to support analytics, operations, and ML workloads at scale. This is a hands-on development role with technical leadership responsibilities and with company wide impact. This engineer will architect and maintain the systems that keep our platform running, set technical direction for infrastructure and deployment practices, and mentor engineers. This engineer will partner closely with on device, and ML teams to ensure our off-device platform is resilient, well-instrumented, and ready to scale. This is a remote position based in the United States, working with distributed teams across the country. Responsibilities • Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability, • Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners, • Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise, • Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources, • Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs), • Support SOC2 security compliance requirements for data handling, • Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence, • Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention, • Collaborate with cross-functional teams to build and maintain CI/CD pipelines, • Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions, • Participate in on-call rotations and incident response teams, • Assist in capacity planning, performance tuning, and technical decision-making, • Drive continuous improvement initiatives for processes and infrastructureMinimum Qualifications, • 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact, • Experience designing and operating infrastructure across on-premises and cloud environments, • Strong proficiency in container orchestration, particularly Kubernetes, • Strong proficiency with AWS services and architecture, • Hands-on experience with Terraform for infrastructure automation, • Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices, • Excellent problem-solving skills, leadership abilities, and attention to detail, • Strong communication and collaboration skills, with experience in driving technical outcomes, • Willingness to travel up to 20% of timeEnhanced Qualifications (Nice to Have), • Bachelor's degree in Computer Science, Engineering, or a related field, • Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure, • AI Workload scheduling using Kubernetes, • Knowledge of Apache Spark for large-scale data processing, • Knowledge of database technologies (SQL, NoSQL), • Understanding of networking concepts and security best practicesSalary Range: $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location: This position can be performed remotely from anywhere in the United States. Our Commitments: Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws. We are committed to: • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful, • Empowering employees to solve problems and work together to make a difference, • Providing mentorship and growth opportunities as part of a collaborative team, • A flexible work environment with flexible paid time off, • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

About Nava Nava is a consultancy and public benefit corporation working to make government services simple and effective. Since 2013, federal, state, and local agencies have trusted Nava to help solve highly scrutinized technology modernization challenges. As a client services company, we guide agencies constrained by legacy systems to a future with sharp user experiences built on secure, reliable, fault-tolerant cloud infrastructure. We bill for our time, offering our expertise and problem-solving approach to help our government partners enhance their digital products and services. People are at the heart of our work, from members of the public who rely on benefit programs to government agency staff. Through human-centered design and modern engineering best practices, we help our government partners better understand user needs and deliver on their missions more effectively. This focus gives everyone at Nava the opportunity to do work that is meaningful, impactful, and deeply connected to public good. Position Summary You will work on cross-functional teams to build scalable systems for our government -- designing, implementing, and delivering services that millions of Americans depend on. You care deeply about working on technology that improves people’s lives, but don’t think technology is always the answer. You are passionate about building large-scale systems that are inclusive, well-designed, fast, scalable, and secure, and you'll help set high standards for our teams in terms of simplicity, empathy, and accessibility. The Senior Software Engineer role will be responsible for developing end to end systems for one of Nava's major government partners. The objective is to modernize an existing legacy enterprise platform to improve its public facing processes, and experiences which will enable users to have more access to the programs and services that they need, in real-time, in a more user friendly and uncomplicated way. This individual will be involved in everything, from strategy, and planning through to post production testing, and support. \n • Lead a team of 6-8 engineers., • Working with fellow Nava engineers to design, review, and build well-crafted software., • Collaborate with government partners and other contractors to architect, implement, and deploy new systems and improvements to existing systems., • Working in an agile manner to efficiently ship new features that meet user needs., • Creating tools and processes to automate our development, testing, and production workflows., • Writing and reviewing technical documentation, performing code reviews., • Participating in an on-call rotation to support production systems and investigate issues when they occur., • Taking part in hiring activities (e.g., submitting referrals, conducting interviews, and attending interview debriefs), as needed. Required Skills: • Open to Fullstack engineers., • At least 7 years of experience working in an agile, multidisciplinary team environment, preferably designing and building medium to large-scale on AWS., • At least 3 years of experience managing and mentoring engineering teams., • At least 3 years of experience working with AWS., • Experience building large scale data services with FHIR/HL7 in healthcare., • Experience with a broad range of technologies including Angular (Typescript), Storybook, Apache server, Go, Java, Spring Boot, Python, OpenAPI,‬ Fargate, Lambda, Jenkins, Github Actions., • Experience with big data technologies such as Spark and Databricks., • Tenacity to dive into problems and iterate in working code., • Equal parts systems thinker and advocate for users., • Highly resourceful, reliable, and detail-oriented., • Ability to think strategically around trade-offs and short term vs. long term benefits., • An adaptive, empathetic, collaborative and positive mindset., • Excellent written and verbal communication skills, technical and otherwise. \n$135,900 - $153,000 a year\n Other requirements All roles at Nava require the following: Must be legally authorized to work in the United States. Must meet any other requirements for government contracts for which candidates are hired. Work authorization that doesn’t require visa sponsorship, now or in the future. May be subject to a government background check or security clearance, depending on the contract. Perks working with Nava Health coverage – Comprehensive medical, dental, and vision plans to support your overall health needs. Time off – Vacation, holidays (including Juneteenth), and floating days to rest and recharge. Company holidays- Enjoy 12 paid federal holidays each year on top of your regular PTO. Annual bonus – When Nava meets goals, eligible employees receive a performance-based annual bonus. Parental leave – Paid time off for new parents, plus weekly meals delivered to your home. Wellness program – Full platform offering physical, mental, & emotional health resources & support tools. Virtual care – See doctors online with no copay through UnitedHealthcare’s virtual visit program. Sabbatical leave – Earn extended paid leave after continuous service for personal growth or rest. 401(k) match – Nava matches 4% of your salary to support your retirement savings plan. Flexible work – Remote-first environment with flexibility built around your schedule and responsibilities. Home office setup – Company laptop & setup assistance provided via Staples for remote work needs. Utility support – Monthly reimbursement to help offset eligible home office utility expenses. Learning opportunities – Internal training programs and resources to help grow your professional skills. Development budget – Annual allowance for courses, tuition, certifications, & LinkedIn Learning access. Referral bonus – Get rewarded when you refer great people who join the Nava team. Commuter benefits – Pre-tax commuter programs to support in-office travel when applicable. Insurance coverage – Nava provides disability, life, and accidental death insurance at no cost. Supportive culture – A collaborative and remote-friendly team environment where people genuinely care. Location We have fully remote options if you reside in one of the following states: Alabama, Arizona, California, Colorado, DC, Florida, Georgia, Illinois, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, North Carolina, New Jersey, New York, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Tennessee, Utah, Virginia, Washington, Wisconsin. *If you are not living in one of the states listed above, unfortunately, you will not be considered for a position at this time. Additionally, if employed with Nava, you must be based in the U.S. and cannot work from outside the country. Stay in touch Sign up for our ___ to find out about career opportunities, new partnerships, and news from the broader civic tech community. Please contact the recruiting team at if you would like to request reasonable accommodation during the application or interviewing process. We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role requires you to work from the contiguous United States.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Pearpop is redefining how brands harness creators to reach and inspire new audiences. As a full-service creative partner, we combine creative strategy, creator curation, and media amplification to deliver content that moves culture and drives results. With best-in-class creative, unmatched creator access, and a data-driven approach, we craft strategic, insight-driven campaigns backed by full-stack technology and performance media. Whether acting as a standalone creator solution or an extension of your team, Pearpop ensures every campaign is seamless, impactful, and culturally relevant. We're bringing together a smart and passionate team of creative builders to join us as we are a growth-stage, high-performance startup. In addition to competitive salaries, we have all the good stuff – equity, generous health and dental insurance, 401(k), and unlimited PTO. This is a remote position if based outside of LA or hybrid if located in LA; fully stocked with snacks, beverages, cold brew, and all the good stuff! As a Senior Full Stack Engineer, you’ll play a pivotal role in designing, developing, and optimizing Pearpop’s platform, ensuring high-performance, scalable solutions that support creator-brand collaborations. You’ll own the full development lifecycle, building RESTful APIs, integrating front-end and back-end systems, and implementing secure, data-driven features. Collaborating with cross-functional teams (product, design, talent, marketing), you’ll drive technical excellence, mentor a small team of engineers, and contribute to architectural decisions. This role demands deep expertise in Node.js, React, and cloud platforms (GCP, AWS), along with a proactive mindset to innovate in the creator economy. * End-to-End Development: Design, develop, and maintain scalable server-side applications using Node.js and dynamic front-end interfaces using React, ensuring seamless integration across the stack. * API Design and Integration: Architect and implement robust RESTful APIs and microservices to support front-end services, creator workflows, and brand integrations, optimizing for performance and reliability. * Cross-Functional Collaboration: Partner with product managers, designers, and talent teams to translate business requirements into technical solutions, ensuring alignment with Pearpop’s creator-centric vision. * Performance Optimization: Optimize applications for maximum speed, scalability, and reliability, leveraging cloud platforms (GCP, AWS) to handle high-volume creator and brand interactions. * Security and Data Protection: Implement advanced security measures (e.g., authentication via Gravitee, encryption) and data protection protocols to safeguard user and creator data. * Technical Leadership: Mentor junior engineers, lead code reviews, and enforce best practices to ensure high code quality, maintainability, and adherence to Pearpop’s standards. * Troubleshooting and Debugging: Proactively identify, troubleshoot, and resolve complex technical issues across front-end and back-end systems, ensuring optimal platform performance. * Infrastructure and DevOps: Contribute to CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and containerization (Docker) to streamline deployment and scalability. * Innovation and Trends: Stay ahead of industry trends in full-stack development, cloud technologies, and creator economy platforms, integrating cutting-edge solutions to enhance Pearpop’s offerings. * Project Ownership: Take ownership of critical projects, from ideation to deployment, driving technical strategy and delivering measurable impact on platform growth. * Experience: 7+ years in full-stack development, with 5+ years focused on Node.js for back-end and React (or similar frameworks like Vue.js) for front-end in high-growth tech or media companies. * Technical Expertise: * Advanced proficiency in JavaScript, TypeScript, and Node.js frameworks (e.g., Express). * Strong experience with React for building dynamic, responsive user interfaces. * Expertise in designing and implementing RESTful APIs and microservices architectures. * Proficiency with database systems (MySQL, PostgreSQL, or MongoDB) and ORMs like Sequelize. * Deep knowledge of version control systems (Git, GitHub) and branching strategies. * Cloud and DevOps: Extensive experience with cloud platforms (Google Cloud Platform, AWS) and containerization technologies (Docker), with proficiency in CI/CD pipelines and IaC tools (Terraform, CloudFormation, GitHub Actions). * Security: Experience implementing authentication systems (e.g., Gravitee, OAuth) and data protection measures to ensure platform security. * Front-End Knowledge: Strong understanding of front-end technologies (HTML5, CSS3, JavaScript frameworks), with the ability to integrate user-facing elements with server-side logic. * Leadership: Proven ability to mentor engineers, lead technical initiatives, and drive cross-functional collaboration in fast-paced environments. * Problem-Solving: Exceptional analytical and problem-solving skills, with a track record of resolving complex technical challenges independently and collaboratively. * Cultural Fit: Passion for social media, internet culture, and the creator economy, with a collaborative, innovative, and savvy mindset. * Education: Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or certifications (e.g., AWS Certified Developer, Google Cloud Professional) preferred but not required. * Experience leading full-stack projects in creator economy, media, or social media platforms. * Proficiency in advanced front-end frameworks (e.g., Next.js, Vue.js) and state management (Redux, Context API). * Knowledge of performance monitoring tools (e.g., New Relic, Datadog) and observability practices. * Familiarity with GraphQL for flexible API development. * Experience with agile methodologies and project management tools (e.g., Jira, Asana). * Strong communication skills to articulate technical concepts to non-technical stakeholders. * Impactful Role: Shape the technical backbone of Pearpop’s creator platform, driving innovation in the $250B creator economy. * Innovative Culture: Thrive in a collaborative, fast-paced startup led by a Forbes 30 Under 30 CEO, leveraging cutting-edge tech (GCP, Salesforce, AI-driven insights) to redefine creator partnerships. * Growth Opportunities: Lead high-impact projects and mentor a growing engineering team, with a clear path to influence Pearpop’s technical strategy. * Competitive Compensation: $95,000 - $130,000 base salary + full benefits Pearpop is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment. All employment is decided on the basis of qualifications, merit, and business need. Pearpop celebrates and embraces diversity.

We’re looking for a Principal Cloud Architect (AWS) to design and evolve Tulea’s cloud architecture - building the secure, scalable, reliable foundation that our clinical operations and product engineering depend on, including secure data exchange with hospital system partners. Expertise in AWS

Our mission is for every child to have an exceptional experience in school. Edia is a Series A technology startup revolutionizing K-12 education with AI-driven solutions. We develop software to improve math education, tackle chronic absenteeism, and improve intervention processes for school districts. Today, Edia supports 200+ districts across the country (e.g. New York City, Denver, Fulton County, San Francisco, etc.). About the Role We're seeking a Senior Backend Engineer to join our team and help scale our Node.js applications on AWS. This role is different from a traditional engineering position: we've fully embraced AI-assisted development, and we expect most code to be written by AI tools. Your job is to direct that process effectively. You'll work across our entire product suite and internal tools, building robust systems that serve educators and students while also using AI to automate our business operations. What You'll Do * Architect and oversee backend systems across our product lineup and internal tooling * Guide AI coding assistants to implement large-scale changes and new features * Review, debug, and refine AI-generated code to production standards * Use AI internally to automate business operations * Ship full-stack features end-to-end What We're Looking For Essential skills: * Fast at reading code, human or AI generated * Strong debugging skills and an eye for bugs * Capacity to envision large architectural changes and break them into steps an AI can execute * Ability to context switch and juggle multiple in flight tasks * Experience with Node.js and cloud infrastructure (AWS, containers, managed databases) * Comfort working across multiple codebases and problem domains What sets you apart: * You think at systems scale * You're effective at communicating intent to AI tools and iterating on their output * You have good judgment about when to accept AI suggestions and when to push back * You're comfortable with ambiguity and can take ownership of loosely-defined problems Nice to have: * Frontend experience (React)—you'll be reading it regardless * Startup experience Why This Role Is Different We're not looking for someone who wants to write every line of code themselves. We're looking for someone who can leverage AI to move faster than traditional development allows, while maintaining the quality and reliability our school district partners depend on. If you're excited about working at the frontier of how software gets built, we'd love to hear from you. Work Authorization: We are currently unable to sponsor or transfer work authorization for all jobs. If things change in the future, we'll be sure to update this section. We appreciate your interest in Edia. Feel free to follow us on ___ to learn more about what we're doing to improve education outcomes in the US.

Position Overview: We’re looking for a seasoned Senior Full Stack Software Engineer / Architect to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across both product and data domains. In this role, you’ll be expected to take ownership of mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the stack. You should bring a strong software architecture background with deep proficiency in modern web technologies, API design, data modeling, and DevOps. The ideal candidate is a confident technical lead—capable of jumping into ambiguity, navigating legacy systems, and bringing structure to complexity. You’ll not only write high-quality code, but also help shape how we build and scale our platform. You’ll be responsible for: • Designing and building robust GraphQL and REST APIs and scalable backend services that are both internal and external facing, • Taking technical ownership of features across both product and data domains, • Leading projects involving full-stack web development, systems architecture, and data integration, • Developing data pipelines and ETL processes for ingesting, transforming, and delivering structured and semi-structured data, • Building or integrating internal tools and admin interfaces for data stewardship, data quality, and operational workflows, • Supporting data-driven features in existing applications and collaborating closely with stakeholders to embed insights in product experiences, • Designing technical solutions that support large-scale application growth, availability, and maintainability, • Providing technical leadership on complex engineering initiatives spanning multiple teams and systems, • Evaluating and integrating new technologies to solve business and platform challenges, • Working closely with Product and Data stakeholders to translate business requirements into scalable engineering solutions, • Promoting engineering excellence through code quality, performance tuning, testing best practices, and architecture documentation Ideal candidate requirements: Technical Skills • 7+ years of experience as a software engineer with a focus on full-stack and backend development, • Strong expertise in React, TypeScript, and Node.js., • Experience working with modern monorepo setups and modular architectures, • Comfortable building, supporting, and integrating with production-grade ETL/data pipelines, • Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability, • Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies, • Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes), • Comfortable with test-driven development (TDD) and automated testing frameworks, • Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY), • Experience with both greenfield and legacy systems Business Skills • Technically versatile and capable of leading projects across both application and data-focused initiatives, • Confident in navigating ambiguity and owning delivery from problem framing through execution, • Strong communication skills with an ability to bridge technical and non-technical stakeholders, • Demonstrated experience mentoring engineers and contributing to engineering culture and growth, • Experience in fast-paced startup or scaling environments, • Proactive in identifying architectural and systemic improvements, • Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Skills • Experience building or supporting admin tools and internal platforms, • Experience with data observability, schema governance, or data lineage tooling, • Exposure to machine learning pipelines, business intelligence tools, or product instrumentation, • Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: • Competitive Salary, • 100% Company-Paid Premiums for Employee’s Medical Health, Vision, and Dental Plans, • Short-term and Long-term Disability, • Life Insurance, • 401k Matching, • Work from Anywhere within the US, • Flexible PTO, • 100% Paid Parental Leave, • Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period, • Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

About Us! Founded in 2002, Raptor has partnered with more than 60,000 schools in 55 different countries, including 5,300+ K-12 US school districts, to provide integrated visitor, volunteer, attendance, dismissal, emergency management, and safeguarding software and services covering the complete spectrum of school and student safety. We are passionate about our mission to protect every child, every school, every day! About the Role Reporting to the Sr. Director of QA and DevSecOps, the Lead DevSecOps Engineer will drive the design, automation, and continuous improvement of secure cloud infrastructure and delivery pipelines across our Azure ecosystem. This player-coach role combines deep technical expertise with hands-on leadership, guiding a team of DevSecOps engineers to strengthen the security, reliability, and velocity of our software delivery lifecycle. The ideal candidate will drive operational excellence across our Azure-based infrastructure, champion best practices in security and deployment automation, and foster a culture of continuous improvement. You will partner closely with Development, QA, and InfoSec teams to embed security, compliance, and observability across our CI/CD processes—supporting both legacy .NET applications and modern microservices hosted in Azure. The ideal candidate will lead by example through technical contributions, mentorship, and adherence to organizational standards for speed, security, and efficiency. Responsibilities • Leadership and Mentorship: Guide a team of four DevSecOps engineers, promoting best practices in automation, security, and reliability., • Secure CI/CD Pipelines: Maintain GitLab-based pipelines, ensuring consistent integration of security scans, automated testing, and compliance gates., • Infrastructure as Code: Develop and maintain infrastructure through Terraform, enabling repeatable and auditable environment provisioning., • Cloud Operations: Architect, automate, and manage infrastructure in Azure (primary) with some AWS exposure, supporting hybrid and microservices deployments., • Monitoring and Observability: Implement and optimize alerting and performance monitoring through New Relic to ensure high availability and rapid incident response., • Security Integration and Automation: Partner with InfoSec to implement automated vulnerability scanning, key and secret management (Azure Key Vault), and continuous configuration monitoring aligned with SOC 2 and ISO 27001 standards., • Change Management & Compliance: Enforce disciplined change control, versioning, and deployment approvals in alignment with security and audit requirements., • Continuous Improvement: Identify opportunities to enhance delivery velocity, system resilience, and cost efficiency across the DevSecOps toolchain., • Incident Response: Participate in on-call rotation to support production environments and coordinate root-cause analysis and remediation., • Engineering Enablement: Work closely with Engineers to design scalable DevSecOps solutions that accelerate delivery, improve reliability, and enhance developer productivity., • Workflow Optimization: Streamline CI/CD processes and reduce friction through automation and tooling improvements., • Cloud Migration: Lead cloud migration initiatives ensuring secure, scalable, and cost-efficient operations across Azure and AWS., • FinOps & Cost Optimization: Manage and optimize cloud spend through FinOps methodologies and resource utilization monitoring., • Modern DevOps Practices: Champion trunk-based development, shift-left implementation and automated quality gates to improve software delivery maturity Qualifications • Senior level experience (combined 10+ years) in DevSecOps, DevOps, CloudOps, Site Reliability position(s), • Served in a mentor or leadership position – either formally or informally, • Willing to travel to the Houston office twice per year, • Deep hands-on experience with Microsoft Azure services including AKS, Key Vault, Application Configuration, Service Bus, and Azure SQL, • Proven experience managing .NET applications across both monolithic and microservices architectures for a SAAS platform, • Deep hands-on expertise with Azure (primary) and familiarity with AWS environments, • Strong proficiency in GitLab CI/CD, • Demonstrated skill in Infrastructure as Code using Terraform, • Solid understanding of containerization and orchestration (Docker, Kubernetes, AKS), • Experience implementing security automation, including SAST/DAST, secrets management, and compliance reporting, • Knowledge of cloud networking, IAM, and identity management (Azure AD, VNet, NSGs), • Proficiency in scripting (PowerShell, Bash, or Python), • Excellent communication skills and ability to collaborate across development, QA, and InfoSec teams Preferred Qualifications • Experience migrating from Jenkins, • Experience supporting SOC 2 or ISO 27001 audit readiness and evidence collection, • Familiarity with multi-cloud governance, cost optimization, and infrastructure monitoring best practices, • Prior experience mentoring or leading a small technical team in a DevSecOps or SRE function, • Bachelor’s degree in Computer Science, Information Security, or related field What's in it for you? • You will have the opportunity to shape DevSecOps standards and automation across a growing SaaS platform, • You will provide hands-on leadership of an established team driving meaningful transformation in delivery and security practices, • You will enjoy a modern technology stack and collaborative cross-functional culture, • You will join the gold standard in school safety software, • You will join a company where innovation and customer collaboration are part of what drives new product development to help keep kids safe., • You will work with diverse teams made up of some of the best minds in the industry., • You will exposure to strong mentorship and leadership that have supported a long history of career advancement opportunities for our employees., • You will have access to a robust benefits package that includes: Remote-first philosophy * Flexible paid time off * Paid parental leave * 11 Paid holidays per year * Workplace flexibility * Affordable health coverage (medical, dental, vision), paid 100% for employee only medical * 401(k) employer contribution to help you plan for the future * Company paid life insurance, STD, and LTD If you are a resident of California, Colorado, New Jersey, New York or Washington, please reach out to ___ for a reasonable estimate of annual base compensation and any eligible incentive compensation. The actual compensation offered to successful candidates for roles may be higher or lower, based on non-discriminatory criteria including but not limited to relevant professional experience, geographic location, knowledge, skills, and abilities. This range will be reviewed on a regular basis. Raptor Technologies is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, compensation, training, promotion, transfer, leaves of absence, and termination.

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. * Central: Dallas, Chicago * Co-architect and co-build production AI agents with customer engineering teams * Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations * Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows * Advise customers post-sale on architecture, best practices, and roadmap-level decisions * Run technical demos, trainings, and workshops for developer audiences * Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers * Occasionally contribute code upstream when it meaningfully improves customer outcomes * 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up * Strong Python, JavaScript and systems fundamentals * Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling * Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations * Can explain technical tradeoffs clearly and build trust with developer audiences * Take responsibility for outcomes, not just recommendations * Have a bias toward action and enjoy figuring things out as you go * Are excited about operating AI agents in production, not just building demos * You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks * Worked with LLM evaluation, observability, or guardrails * Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts * Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $150,000–$250,000 USD

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator. • Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them., • Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default., • Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery., • Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization., • Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution., • Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules., • Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture., • Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability., • Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption., • Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation., • Languages & Runtimes: Node.js, TypeScript, • Frameworks: Nest.js, React.js, • Data & Messaging: PostgreSQL, Kafka, Redis, Redshift, • Infrastructure & Orchestration: Kubernetes, ArgoCD, • Monitoring: DataDog, • 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction., • Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers., • Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams., • Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends., • Hands-on experience managing containerized workloads using Kubernetes and ArgoCD., • Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture)., • Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture., • Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps., • Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar., • DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR)., • System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks., • Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built., • Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship., • Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda., • Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization., • Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments., • Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications., • Proficient in Python, including libraries like Celery and SQLAlchemy., • Familiarity with serverless computing approaches. ** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida. • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance, • Flexible Vacation, • Work From Home, • Free Food & Snacks (in office), • Orlando, Florida (Hybrid), • Wellness Resources

Systems Engineers at Inngest build the core of our product: the durable execution layer, queueing system, state stores, and the distributed systems that connect them together. It's extremely fun, rewarding, and technical work that provides interesting challenges and deep gratification. About us: Inngest is solving long standing developer problems in a novel way which means we’re creating first-of-it’s-kind solutions. We’re building tools that developers will use in their everyday workflow so efforts to improve UX and performance are primary. Importantly, you’ll need a strong product mindset and an interest in developer tools. The role To be able to build something that scales and functions well, a Systems Engineer needs to be both a generalist and a specialist. Along with our existing team, you'll be responsible for the inner workings of our queueing system (eg. working on debounce, concurrency over time), state store (handling terabytes to petabytes of storage), the API layers in-between, and sometimes the high-level SDKs that our users build with. Your work will directly impact millions of developers, and you'll collaborate with our designers, engineers, and founders to build the best experience possible. This role requires working time overlap with US PST. Ideally, you'd live in the SF Bay Area, but for strong candidates you may live anywhere in the United States. Our existing systems engineering team is in San Francisco and works in person several days a week. What you'll do * Architect and implement solutions in our queueing layer, state store, and execution layer (eg. concurrency over time, or function debounce) * Plan and implement improvements on throughput, and latency at hundreds of thousands to millions of requests per second * Contribute to systems architecture and infrastructure changes as we grow * Collaborate with team members to expose internal data across metrics stores, APIs, and customer dashboards we host in our cloud UI * Work with backend engineers to design APIs that can be used across the Inngest cloud dashboard, dev server and CLIs * Dogfood the Inngest product and develop ideas for improvements, features, or integrations * Communicate with our users through Github, email and Discord * Write technical specs for features and documentation for our users Ideal candidate * You've been working on distributed systems for several years * You've used Go or similar statically typed languages professionally for two years or more * You've architected, or been involved in designing, systems that handle scale * You understand engineering trade-offs and can make correct judgement calls on approaches available * You understand how to observe, monitor, and maintain the systems you design * You appreciate simplicity, even if it's harder to design and build Bonus points * Work with compliance (SOC2, ISO27001, HIPAA, etc.) and know how to make it serve security approaches and not the other way around * Experienced or have a solid understanding of networking * Understand and have experience managing and maintaining systems, eg. SRE roles What your first 90 days will look like * First week: you’ll learn how we work as a team and our approach to growth. You’ll also start to learn our system architecture and hopefully make a couple of small contributions to the dev server UI or our cloud dashboard. * By day 30, you’ll be proficient with our weekly cadence of work and have contributed a new feature to our executor, state, queue, metrics, or some other component. You’ll fully understand our company, product, and growth strategy and start to build up context for your product mindset. * By day 90, you'll have shipped significant changes to our open source project and cloud platform. You also helped define the specs. You'll have learned where you can contribute outside of the engineering domain (growth, UX design, DevRel, etc.) and contributed ideas around product and growth. We're all aligned and mutually excited about how we work together now and in the future! What we build with * Backend: Go, Postgres, Redis, Clickhouse, PubSub/Kafka, k8s * APIs: gRPC internally, GraphQL and REST APIs for UI * Hosted on AWS, GCP and Bare Metal * Github, Linear, Slack, Notion, Figma

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “___,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

We are seeking an experienced OCI/AWS Technical Architect with strong expertise in multi-cloud architecture, cloud networking, security, and data integration across OCI, AWS, and Snowflake environments.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states. The Principal Software Engineer will play a critical role in designing, developing, and implementing advanced healthcare solutions, including transaction processing systems, integrations with industry standards (HL7, FHIR, EDI), and data management platforms. As a key leader of our engineering team, you will collaborate with cross-functional teams to guide the technical strategy, deliver scalable, secure, and high-performance solutions. You will also mentor junior engineers, provide technical oversight, and ensure the team is aligned with the overall strategic ___ are responsible for ensuring that all software developed by one or more teams at HHA meets our standards for quality, performance, scalability, availability and security by working alongside team members to develop innovative solutions to customer problems. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is a fully remote opportunity for candidates located in the EST or CST time zones within the US only. • Hands-on Development: Contribute directly to the development of key platform features and components as an individual contributor, ensuring alignment with overall project goals., • Leadership in Design: Lead the end-to-end design and development of advanced healthcare software systems, ensuring they are scalable, reliable, secure, and high-performing., • Architect Healthcare Solutions: Design and implement solutions for healthcare transaction processing that comply with industry standards, including EDI, HL7, and FHIR., • Team Enablement and Prioritization: Clearly communicate priorities and expectations to the team, ensuring they have the support and resources to complete their work effectively., • Quality Ownership: Take full ownership of the quality of all team-delivered features, ensuring they meet both functional and non-functional requirements with well-thought-out designs., • Drive Architectural Innovation: Identify gaps or areas for improvement in existing patterns. Promote a culture of experimentation and innovation by encouraging the exploration of new technologies, tools, and methodologies that can drive competitive advantages., • Stakeholder Engagement: Act as the primary technical liaison for executive stakeholders, ensuring clear communication and alignment between engineering and business strategies., • Risk Management: Identify potential technical risks early in the development lifecycle and implement strategies to mitigate them, ensuring that projects remain on track and within scope., • Cross-Functional Collaboration: Partner with Product Managers, Product Owners, and other stakeholders to define project scope, assess feasibility, and translate business needs into robust technical solutions., • Technical Mentorship: Act as a senior technical resource, providing guidance, mentorship, and leadership to engineering teams, cultivating a culture of innovation, accountability, and excellence., • Stay Ahead of Industry Trends: Continuously monitor emerging healthcare technologies and trends, recommending cutting-edge solutions to maintain a competitive edge., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel up to 10%, including overnight travel, • B.S. or M.S. degree in Computer Science, Engineering, or similar field, or a related field, or equivalent significant industry experience., • 8+ years of experience in software engineering within a software product company, with a focus on developing scalable, high-performance systems., • Extensive experience architecting, building and delivering complex, high-performance SaaS solutions deployed in cloud environments (AWS or similar) using microservices and serverless architectures., • 5+ years of hands-on experience in the healthcare industry, particularly in developing products for healthcare transactions. Must have strong experience with healthcare interoperability standards such as FHIR and HL7., • Proficient in modern programming languages such as Java, C#, and Python (preferred), with experience in building and maintaining high volume production-grade solutions., • Solid understanding of database systems, both relational (SQL Server, PostgreSQL) and NoSQL., • Proven leadership skills with experience mentoring and guiding engineering teams, fostering a culture of excellence and collaboration., • Experience with Agile methodologies and DevOps practices., • Strong analytical and problem-solving skills with a track record of delivering innovative, practical solutions., • Excellent verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders., • Highly beneficial if you can speak Mirth fluently - Experience with Mirth Connect used in healthcare interoperability

About Niche Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. We are looking for an experienced, proactive, and systematic Senior Site Reliability Engineer to join the SRE team at Niche. As a Senior SRE, you will take ownership of reliability outcomes for critical services, lead incident response efforts, and mentor team members while driving improvements across our platform. You will architect scalable solutions, champion reliability best practices, and influence technical decisions across the engineering organization. Engineering focus will be placed on distributed systems, automation, observability, and cloud infrastructure across AWS and GCP environments. You will lead 24/7 on call rotations, drive incident resolution, and help shape the reliability culture that serves millions of users researching schools and colleges. What You Will Do • Own and architect cloud infrastructure across AWS and GCP, including EC2, EKS/Kubernetes, RDS, ElastiCache, S3, and networking components (VPCs, load balancers, DNS), driving improvements that increase reliability and reduce operational burden, • Lead the design and implementation of secrets management strategies using Hashicorp Vault and other tools, establishing organizational standards for secure configuration management, • Architect and evolve infrastructure-as-code practices using Terraform, driving adoption of patterns that improve consistency and reduce deployment risk, • Design and optimize deployment pipelines and CI/CD systems, troubleshoot complex deployment failures with Git and FluxCD, and establish best practices for safe, reliable releases, • Support database operations including migrations and performance tuning, • Own Kafka clusters and message queue systems, including architecture decisions, capacity planning, and troubleshooting complex processing issues, • Participate in 24/7 oncall rotations, responding to alerts, triaging incidents, and coordinating with development teams to resolve production issues, • Design and implement monitoring, alerting, and observability strategies using Prometheus, Grafana, Sumo Logic, and related tools, establishing organizational standards that catch issues before customers notice them, • Define and own Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services, balancing business needs with engineering resources, • Lead blameless post-mortems, write comprehensive incident analyses that teach others, and drive systemic improvements that prevent entire classes of incidents, • Champion access controls, IAM policies, and security configurations across cloud environments, ensuring infrastructure meets compliance and security requirements, • Identify and eliminate systemic sources of operational toil by designing automation, building self-service tooling, and improving developer workflows that scale the team's impact, • Lead AI-assisted automation initiatives to streamline SRE processes, implementing solutions that reduce toil and improve incident response, • Partner with product development teams as the reliability subject matter expert, providing architecture guidance, production readiness reviews, and proactive capacity planning, • Mentor and coach SRE team members, helping them develop technical skills and operational judgment through pairing, code review, and incident response shadowing, • Lead knowledge sharing initiatives, demos, and cross-team collaboration to elevate reliability culture and operational excellence across the engineering organization During the First Month: • Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings, • Shadow SRE team members to learn about our tech stack (AWS, GCP, Kubernetes, Terraform, Vault), the products we support, and our development standards, • Gain access to production systems, observability tools, and documentation, • Begin contributing to bug fixes, documentation improvements, and small infrastructure tasks for initial exposure and impact Within 3 Months: • Gain familiarity with our platform's underlying application stacks, deployment processes, and software development lifecycle, • Collaborate with SRE team members to implement new features and improvements within our infrastructure, • Participate in code reviews and provide constructive feedback on infrastructure changes, • Have the skills and knowledge to help analyze and resolve production issues, becoming a participant in oncall rotations, • Begin partnering with product development teams to provide platform reliability guidance Within 6 Months: • Continue gaining exposure to critical subsystems including databases, data automation, Kafka, task orchestration, and observability platforms, • Be an advocate for reliability standards within your product team partnerships, empowering developers to move faster with confidence, • Contribute to automation initiatives that reduce operational toil and improve team efficiency, • Support compliance efforts by maintaining security controls and contributing to audit evidence collection Within 12 Months: • Confidently troubleshoot and resolve complex production issues across our distributed systems, • Identify areas for improvement in our infrastructure, research best practices, and make recommendations to the team, • Use your growing knowledge of our applications to help developers implement changes that increase reliability, • Contribute to defining SLIs and SLOs for services and help establish observability coverage, • Practice and help define what it means to be an SRE at Niche What We Are Looking For * Required: • 5+ years experience with cloud platforms (AWS or GCP) and container orchestration systems (Kubernetes/Docker), • Experience with cloud networking concepts and services including VPCs, subnets, security groups, NAT gateways, VPC peering, load balancers, and DNS management (Route 53, Cloud DNS), • Strong programming skills in one or more languages (Python, Go, Bash) with demonstrated ability to build automation and tooling, • Advanced experience with Infrastructure as Code tools (Terraform, Helm, Ansible) including module design and organizational standards, • Deep understanding of Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, distributed systems), • Experience with SQL databases (PostgreSQL, MySQL, or SQL Server) including performance tuning and capacity planning, • Experience designing and operating CI/CD pipelines for reliable software delivery, • Track record of leading incident response and driving complex issues to resolution, • Demonstrated ability to mentor engineers and contribute to team technical growth, • Excellent collaboration and communication skills, with ability to influence technical decisions across teams Preferred: • Experience designing and implementing observability strategies using Prometheus, Grafana, Datadog, Sumo Logic, or similar platforms, • Deep understanding of SRE principles including SLIs, SLOs, error budgets, toil reduction, and reliability engineering practices, • Experience operating message queue systems (Kafka, RabbitMQ, or similar) at scale, • Experience with secrets management tools (HashiCorp Vault, AWS Secrets Manager) including design of organizational policies, • Experience with cloud systems infrastructure design, capacity planning, and cost optimization, • Interest in leveraging AI and automation tooling (such as MCP servers, agentic workflows, or LLM-assisted operations) to streamline SRE responsibilities, • Bachelor's degree in Computer Science, a related field, or equivalent experience Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: * Phone Screen with Talent Acquisition Partner - 30 Minutes * Video Interview with Hiring Manager - 45 Minutes * Team Interview - 45-60 Minutes * Leadership Interview - 30 Minutes We are currently recruiting for this role in Argentina and Brazil only. We will not be considering US based candidates at this time. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know. Only applications/resumes written in English will be accepted. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month (as of January 2025) through our educational content and personalized calculators and tools. To extend our mission, we also operate SmartAsset Advisor Marketing Platform (AMP), which helps connect consumers with fiduciary financial advisors.SmartAsset has earned recognition on the Inc. 5000 (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022) lists. Currently, SmartAsset ranks on Y Combinator’s list of Top 100 Companies. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion. *Other than application and licensing fees, SmartAsset did not provide compensation for the aforementioned awards. SmartAsset’s Data Engineering team builds and maintains the scalable, low-latency systems that power data access across the company. Our platform supports real-time and batch data needs for analytics, reporting, and machine learning, serving teams across Marketing, Product, Sales, and Finance. You’ll be part of a growing data organization that includes analysts, data scientists, and ML engineers that are at the forefront of AI/ML application for the company. As a Senior Data Engineer, you'll work cross-functionally to evolve our architecture, optimize data latency, and build robust solutions that enable data-driven decisions at scale. SmartAsset is looking for a seasoned Senior Data Engineer with 7+ years of hands-on experience to help build and optimize the backbone of our data platform. In this role, you’ll design and implement high-impact, cloud-native solutions that improve data reliability, reduce latency, and scale with our growing business. You’ll play a key role in enabling data products, real-time analytics, and cross-functional decision-making by delivering clean, well-structured, and accessible data. Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology. • Develop and manage robust data integrations with external vendors and organizations (including complex API integrations)., • Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions., • Lead and take ownership of assigned technical projects in a fast-paced environment., • Drive continuous improvement in the quality, security, efficiency, and scalability of our data pipelines and infrastructure., • Bachelor of Science degree in Computer Science or equivalent practical experience., • 4+ years of dedicated experience building and maintaining complex ETL/ELT pipelines., • 3+ years of Python development experience, specifically building production-grade data APIs using FastAPI or similar frameworks., • Strong expertise in SQL, including advanced query optimization and performance tuning., • Expert-level proficiency in dbt implementation, including managing models, macros, and incremental and dynamic tables., • Extensive hands-on experience with Snowflake, including performance optimization, data recovery using Time Travel, and advanced data modeling techniques., • Practical experience with key AWS data services such as Kinesis, Firehose, Redshift, Spectrum, Elastic MapReduce, and Lambda; and container orchestration services like ECS and EKS for deploying and managing data applications., • Proven experience designing and building near real-time data processing systems., • Experience with data observability tools for proactive monitoring of data quality, lineage, and pipeline health., • Familiarity with modern data orchestration platforms such as Argo or Airflow., • Hands-on experience with the full software development lifecycle (SDLC), including strong CI/CD practices for data pipelines and proficiency with data testing frameworks., • Demonstrated ability to identify and adopt new technologies that improve data quality and reliability., • Deep understanding of the data lifecycle, emphasizing the importance of high-quality data in applications, machine learning, business analytics, and reporting., • Proven track record of mentoring junior team members., • Experience with data ingestion tools like Singer is a plus., • Knowledge of analytics tools such as Tableau, Plotly, and Pandas., • Experience in the financial services industry. Physical Requirements: • Prolonged periods of sitting at a desk and working on a computer, • Must be able to communicate via phone calls and/or video conferences (mainly for concierge and sales roles), • All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the Contiguous US., • Medical, Dental, Vision - multiple packages available based on your individualized needs, • Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available, • Supplemental Short-term and Long-term Disability, • FSA: Medical and Dependant Care, • 401K, • Equity packages for each role, • Time Off: Vacation, Sick and Parental Leave, • EAP (Employee Assistance Program), • Financial Literacy Mentoring Program, • Pet Insurance, • Home Office Stipend SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at . California, Colorado, Connecticut, Maryland, Nevada, Rhode Island, Washington, and New York City residents* $135,500 - $200,000 + RSUs + benefits. Salary at SmartAsset is determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the contiguous United States.

Department: Data Science Reports to: Head of Data Science Location: Remote within Continental US Applications will be open through February 2026, with an anticipated start date in March 2026. Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met—just make sure to tell us why you’re excited about Funga! At Funga, we leverage cutting-edge data pipelines to manage large-scale ecological, genomic, and geospatial datasets. We are looking for a Data Infrastructure Engineer to help us build scalable data solutions, streamline data ingestion, and maintain high-quality databases that support our scientific and operational teams. This role will be instrumental in optimizing our data infrastructure, ensuring efficient data access, and supporting the broader team in making data-driven decisions. We are building a lean, high-performance, low-overhead stack built on open-source foundations. You will be the primary architect of how Funga stores, moves, and accesses its data. This is a role for a builder who prefers simple, robust, accessible systems that are tailored to the teams who rely on them. This is a rare opportunity to have total technical ownership over the data systems that will scale our impact globally. • Architect Core Systems & Cloud, • Own the Stack: Architect and maintain our central storage (PostgreSQL/PostGIS, SQLite) and cloud environment (AWS/GCP), leveraging ECS, Lambda, and S3., • Modern DevOps: Standardize environments using Docker, CI/CD pipelines, and Infrastructure as Code to automate the testing and deployment of data services., • Scale for Performance: Optimize data models and database performance management for extensibility as our genomic and geospatial inputs scale., • Manage the Data Lifecycle, • Build Lean Ingest: Design and automate scalable ELT/ETL pipelines for genomic, geospatial, and tabular data from sources like Survey123, ArcGIS, and Asana., • QA/QC at Scale: Build automated validation pipelines to ensure data integrity and version control from the moment it hits our system., • Enable the Mission, • Internal Enablement: Support scientists and operational teams by designing the data models that power internal modeling workflows, dashboards, and reporting., • System Connectivity: Develop lightweight APIs and connectors to sync data between our core infrastructure and downstream applications (e.g. Asana, ArcGIS, and internal dashboards)., • 4+ years of experience in Data or Backend Engineering, with a track record of building production data systems from the ground up., • Database expertise: Deep SQL proficiency. You understand indexing, partitioning, and optimizing Postgres for high performance., • Cloud Infrastructure: Significant experience building, managing, and optimizing data services within AWS or GCP (e.g. ECS, Lambda, RDS) with a focus on cost-effective, maintainable architecture., • Modern DevOps & Python: Proficiency in production-grade Python and modern DevOps practices, including containerization (Docker), CI/CD pipelines, and infrastructure monitoring., • Data fluency: Experience handling large-scale Parquet, Avro, binary, or simliar data types. Familiarity with geospatial data types and tools (PostGIS, GDAL) is a plus., • Product mindset: You treat internal teams as your customers. You are driven to build solutions that serve and accelerate internal teams' work., • Pragmatic: You prefer simple, mature, composable tools over heavy, managed platforms, and you have a bias for creating value now versus perfection later., • NOTE - please apply if you feel you are qualified, but don't necessarily meet all of the above criteria!, • Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges—climate change., • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability., • Career growth: Be part of a pioneering company with opportunities for professional development and leadership., • Comprehensive Benefits: Participate in healthcare benefits and employee equity programs. The expected salary range for this role is $120,000 - $150,000, with actual salary based on qualifications and experience. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!

Cribl does differently. What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity. The Customer Success Engineer (CSE) is the primary post-sales customer advocate. As a CSE you are hyper-focused on ensuring adoption is achieved and value is realized for the customer. You act as a highly technical, trusted advisor to ensure the customer achieves their use cases and business outcomes using Cribl solutions. Your role often involves collaboration within Cribl, with partners, and certainly with the customer. The CSE must be ready to engage with both technical and management functions within an organization and demonstrate the value of Cribl in business discussions with company executives. As An Active Member Of Our Team, You Will… • Act as a trusted, strategic and technical advisor to customers, driving the entire Customer Success lifecycle from onboarding to expansion, • Establish and maintain relationships with stakeholders and senior management to drive Enablement, Adoption, and Value plans among other customer-centric initiatives, • Drive adoption and value while inspiring/discovering additional opportunities for Cribl further Cribl value, • Keep your finger on the pulse of your customers and keep things flowing for them. This includes driving and recommending use case initiatives, troubleshooting, encouraging and advocating for certification and training, etc, • Clear, effective communicator and collaborator working cross-functionally with the Cribl sales, marketing, product, experience, and engineering teams as the voice of the customer, • Track metrics and other customer-specific information with the Cribl Customer Success Platform to ensure maximum observability of our customer base and awareness of signs of customer distress/success., • Continually inspire, mentor, and coach team members as an integral piece of the Customer Experience organization If You’ve Got It - We Want It • Minimum of 5 years in a related function with direct customer advocacy and engagement experience in post-sales with passion for customer success, an engineering-first approach, and empathy for customer outcomes and value, • A customers-first mindset with great communication and relationship management skills that can manage customer expectations through being empathetic and listening to our customers, • You take the time to listen and comprehend but are also a conversation starter., • Proven track record and experience working with large complex enterprises and developing relationships in a high growth environment, • Proven track record and experience as an engineer working with large complex enterprises and developing relationships in a high-growth environment, • Experience with Observability, Logs, Metrics, IT Operations and Security with a deep understanding of managing data pipelines through the entire data lifecycle, • Proven ability to drive continuous product value by developing new use-cases relating to reducing, reusing, enriching, and routing data to achieve customer outcomes, • Quick learner with strong engineering and problem-solving skills, • Willingness to travel as needed (up to 15%-20%), • You live in the San Francisco Bay Area, preferably North Bay (City, Oakland, San Mateo areas) Bonus Points/Preferred Qualifications: • Data Engineering/Analytics platform administrator/architect experience (i.e. Splunk, Elastic, Datadog, Snowflake, etc.), • Solid technical understanding of managing customers through Customer Success Platforms such as GainSight or PlanHat, • Working knowledge of major cloud providers (AWS, Azure, GCP), • Good jokes, or maybe better, bad jokes, • Loves talking to customers and solving problems, • Experience working remotely Salary Range ($110K - $180k) The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus. #LI-JK1 #LI-Remote Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at ___.

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Senior Software Engineer (Full Stack) will be expected to deliver stellar results as part of a small, cross- functional, largely autonomous product engineering team, collaborating with other developers, designers, and the product manager to extend our cloud-based web platform. This role will contribute to features and projects, from brainstorming, development, through to testing, release, and maintenance. • Build products for internal and external users across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages., • Partner with engineering managers, lead engineers, product managers and designers to deeply understand the needs of our users to architect and leverage most effective technical solution to build a product that serves those needs., • Design and develop software capable of reaching millions of, • Write modular, secure, and well-tested, • Ensure our development environment is best in class by delivering improvements to internal tooling and direct partnership with our product platform teams., • Articulate a technical vision for a more enlightened way of working and work with multi-functional partners to deliver that vision., • Ensure code quality and participate in code, • Promote collaboration and best practices such as simplicity, automation, good design patterns, code coverage and reusability., • Own and maintain existing application platforms as part of the team, and look for opportunities to improve them., • BS (or higher, e.g., MS, or Ph.D.) in Computer Science or related technical field involving coding, or equivalent technical experience., • 5+ years of work-related industry experience developing high-performance web applications in C#/ .NET., • Experience writing RESTful microservices with a popular web, • Extensive knowledge of your development stack; for example, with C#, have a comprehensive understanding of the .NET, .NET Core, MVC, WebAPI, IIS etc., • 3+ years of experience as a Full Stack Engineer and knowledge of Front-End languages such as JavaScript, React, Angular., • Good working knowledge of HTML, CSS, and Javascript, • Strong CS fundamentals with experience across a range of disciplines, with one or more areas of deep knowledge and experience, • Consistent track record of developing, shipping, and maintaining large-scale web applications with a user, • Experience working with AWS offerings such as EC2, ALBs, RDS, Beanstalk, API Gateway or with a different cloud provider and similar services., • Demonstrated experience to understand the tradeoffs to technical design decisions, risk assessment and mitigation activities., • Experience in analyzing and troubleshooting application issues in timely fashion., • Proven analytical thinking and problem-solving, • Must have excellent communication skills both verbal and, • Enthusiasm for technology, and an aptitude for learning and using new Bonus Qualifications: • Experience in Agile development methodologies, preferably both Scrum and, • Experience with unit testing using frameworks like, • Enthusiasm to work anywhere in the stack, especially in unfamiliar, • Enthusiasm for modern DevOps practices (including containerization and Kubernetes deployments)., • Good working knowledge of API, • Experience with specific technologies such as Redis, ElasticSearch Salary Range: $140,000 - $155,000 In Office Policy: Candidates within a commutable distance to one of the offices listed below will be expected to commit to a hybrid in office schedule if selected. • Boston, MA, • Princeton, NJ RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.