• Work as part of the team supporting the Test Resource Management Center’s (TRMC) Test and Training Enabling Architecture (TENA), Cloud Hybrid Edge to Enterprise Test Analysis Suite (CHEETAS), and Joint Mission Environment Testing Capability (JMETC) User Support Teams • Develop software applications that interface with the TENA and CHEETAS products • Lead and mentor junior members of the team on development efforts • Documenting, managing configuration, testing, analysis and bug fixing involved in creating and maintaining applications and frameworks involved within an agile software release life cycle

Role Description We are hiring a Senior Java Backend Engineer on behalf of our client — a global next‑generation technology partner delivering intelligent, scalable digital solutions across media, finance, healthcare, and banking. Your role will involve: - Designing and building distributed backend systems, high‑throughput microservices, and large‑scale data processing pipelines. - Working in complex architectures with high‑volume data flows. - Integrating ML models into production. This role suits a Senior Java Engineer with strong JVM expertise, deep backend fundamentals, and hands‑on experience — or strong motivation — in Big Data and ML‑driven systems. Qualifications - Strong proficiency in Java and a deep understanding of the JVM ecosystem (performance tuning, concurrency, memory model). - Solid backend engineering fundamentals: API design, microservices, observability, CI/CD. - Experience with distributed systems (horizontal scaling, resilience patterns, distributed coordination). - Enterprise‑level engineering experience in data‑intensive environments. - Strong command of clean code and design patterns. Requirements - Build and optimize Java microservices with strict SLAs (latency, throughput, reliability). - Design and evolve distributed systems handling large‑volume, high‑velocity data. - Develop and maintain Big Data pipelines for ML training, inference, and personalization. - Integrate ML models into production with robust deployment, monitoring, and rollback strategies. - Apply clean code, design patterns, and engineering best practices in high‑complexity environments. - Contribute to architectural decisions involving scalability, partitioning, caching, concurrency, and fault tolerance. - Collaborate with Data Science teams to operationalize ML workloads at scale. Company Description Evolve Today is a recruitment agency connecting top engineering talent with world‑class opportunities.

Title: DevSecOps Engineer Location: Nashville United States Job Description: We are seeking a seasoned Red Team Lead to spearhead offensive security operations and proactively identify vulnerabilities across our infrastructure and applications. This role will collaborate closely with our VP of Security & DevOps and interface with our SRE and DevOps teams to ensure robust security posture across all environments. As the DevSecOps Engineer you will work alongside developers to bake in security early and support our DevOps/Platform engineers in securing pipelines and infrastructure. You will partner with QA/Testing teams to build security test cases, advise product owners on risks and compliance needs and act as a bridge to InfoSec for vulnerability management and audits. Key Responsibilities Red Team: Form, Lead, and Execute Red Team engagements simulating real-world attack scenarios. Collaborate with SRE and DevOps teams to validate findings and recommend remediation strategies. Manage full attack lifecycle operations: reconnaissance, exploitation, persistence, lateral movement, and exfiltration. Security by Design: Integrate security requirements and controls into architecture, design, and coding practices. Code & Dependency Review: Automate and conduct reviews of code, libraries, and dependencies to identify vulnerabilities. Threat Modeling & Risk Assessment: Collaborate with engineers to assess potential attack vectors and recommend mitigations. Secure CI/CD Pipelines: Implement static (SAST), dynamic (DAST), and dependency scanning tools into CI/CD pipelines. Cloud & Infrastructure Security: Work with DevOps to secure Kubernetes, containers, secrets management, and cloud environments (AWS/GCP/Azure). Required Skills - Strong background in application security (OWASP, NIST, MITRE ATT&CK) - Proficiency in one or more programming languages (C#, Python, Java, or JavaScript) - Experience with CI/CD and DevSecOps tooling (SonarQube, Snyk, Veracode, GitHub Actions, etc.) - Familiarity with container security (Docker, Kubernetes, Istio) - Cloud security expertise (IAM, secrets management, network segmentation) - Knowledge of regulatory/compliance frameworks relevant to the organization - Experience with penetration testing or red teaming, a plus! - Certifications (e.g., CISSP, OSCP, CEH, CCSK), a plus! - Familiarity with zero-trust architectures, a plus! - Hands-on with Infrastructure as Code (Terraform, Helm, Pulumi), a plus! COMPENSATION This is a full-time, salaried, remote position. Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. ABOUT TEAM VELOCITY Team Velocity is a full-service marketing agency serving the automotive industry, providing fully integrated marketing solutions to OEMs and dealerships nationwide. We are revolutionizing the automotive industry with cutting-edge technology to help dealers sell and service more cars. Made by dealers for dealers, Team Velocitys proprietary technology platform Apollo analyzes consumer behavior to predict who will buy, what they will buy, and when they are ready to service. Apollo automates the entire communication process by delivering hyper-personalized campaigns across every touchpoint, maximizing ROI, and lifetime revenue. Our vision is to serve our clients with a single technology platform that empowers them to execute intelligent marketing across every online and offline channel. We aim to deliver a frictionless consumer experience, from the initial engagement to a final transaction. Our team members are hard-working and driven to achieve success for our clients and our unique culture promotes creativity, camaraderie, and success.

Title: Senior Data Engineer, Reliability & Observability (Hybrid - Acton, MA) Location: Acton United States Full time Job Description: Job Title: Senior Data Engineer, Reliability & Observability FLSA Status: Exempt Company Overview Insulet started in 2000 driven to achieve our mission of enabling our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod product platform. In the last two decades we have improved the lives of hundreds of thousands of patients who have insulin-requiring diabetes by using innovative technology that is wearable, waterproof, and lifestyle accommodating. We are on an exciting trajectory of significant growth and global expansion enabling us to reach more patients around the globe. We are looking for highly motivated, performance driven individuals who want to be part of building our Center of Excellence and be at the forefront of our rapidly growing global footprint. We are looking to hire amazing people who are guided by shared values and desire to exceed customer expectations. Our continued success depends on it. Team Overview The Pod Software Reliability (PSR) team is focused on improving the reliability, robustness, and observability of embedded software systems through scalable automation, data-driven insights, and close cross-functional collaboration. PSR defines reliability scenarios and metrics; automation and lab functions execute large-scale testing and aggregate data; DevOps integrates those capabilities into CI/CD; and leadership consumes dashboards and reports to make informed engineering and release decisions. Role Summary We are seeking a highly skilled Senior Data Engineer, Reliability & Observability to architect, build, and evolve the data foundation that powers PSR's reliability insights. This role will lead the design of scalable data models, resilient ingestion patterns, schema strategy, and observability architecture across automated testing, lab execution, and CI-integrated reliability workflows. This individual will operate with a high degree of independence and technical judgment, shaping how reliability and automation data is structured, governed, and consumed across engineering and leadership stakeholders. The role requires the ability to design solutions in areas where standards may be immature, fragmented, or still evolving, and to translate ambiguous reliability needs into durable, scalable data architectures. The Senior Data Engineer will serve as a technical advisor across PSR initiatives, influencing architecture decisions, guiding best practices, and helping other engineers adopt scalable approaches to data modeling, telemetry, and observability. This role is intended for someone with deep prior experience in data engineering and observability systems who can reduce operational fragility, improve long-term maintainability, and accelerate self-service visibility across the organization. Key Responsibilities - Architect and own scalable, maintainable, and extensible data models for reliability, automation, lab, and telemetry-generated data. - Lead the design and evolution of database schemas that support cross-test analytics, traceability, repeatability, and long-term platform growth. - Design and implement robust ingestion and transformation pipelines across automated test systems, CI/CD workflows, lab infrastructure, and supporting engineering tools. - Define and standardize shared identifiers, metadata strategies, and data contracts that enable reliable correlation across runs, sessions, devices, builds, environments, and programs. - Design complex or novel data solutions in areas where standards, tooling, or historical patterns are limited, fragmented, or outdated. - Provide technical guidance and advisory support to reliability engineers, lab engineers, software/test automation engineers, and DevOps partners on data architecture, observability design, and scalable reporting patterns. - Influence and help establish engineering standards for schema design, ingestion patterns, telemetry structure, data governance, and dashboard consumption. - Enable observability workflows by structuring and integrating metrics, logs, events, and related telemetry into fit-for-purpose systems that support both operational debugging and strategic analysis. - Support the development of dashboards and reporting experiences for both technical users and leadership stakeholders, including engineering deep dives, program health reporting, and executive-level views. - Drive improvements in data quality, performance, consistency, integrity, and usability across the PSR ecosystem. - Identify architectural bottlenecks and lead remediation strategies across current data storage, schema design, pipeline reliability, and visualization workflows. - Create and maintain documentation, standards, and best practices for schema design, ingestion patterns, data governance, and dashboard enablement. - Mentor and influence other engineers through design reviews, technical recommendations, and practical guidance on scalable data solutions. - Contribute to and help shape a longer-term data and observability strategy that scales with evolving Pod programs, new test types, and future platform needs. Required Leadership/Interpersonal Skills & Behaviors - Exceptional verbal and written communication skills, with the ability to influence technical and non-technical stakeholders at multiple levels of the organization. - Proven ability to work independently with minimal supervision while driving complex technical initiatives forward. - Strong technical leadership skills, including the ability to guide, mentor, and advise engineers beyond direct project collaboration. - Demonstrated ability to navigate ambiguity, evaluate tradeoffs, and make sound architectural decisions in evolving technical environments. - Strong time management, multitasking, and prioritization skills. - Proven ability to work collaboratively across cross-functional teams and build alignment without direct authority. Qualifications - Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field required; Master's degree preferred. - 7+ years of experience in data engineering, analytics engineering, platform engineering, or related roles; or 5+ years of experience with an advanced degree in a related field. - Strong experience architecting relational database schemas and modeling structured engineering or operational data for scale, maintainability, and long-term reuse. - Deep SQL expertise and hands-on experience with relational databases such as PostgreSQL or equivalent platforms. - Strong experience building and evolving ETL/ELT or other data ingestion and transformation pipelines in production environments. - Experience using Python or another programming language for data processing, automation, or integration tasks. - Strong understanding of observability and telemetry concepts, including metrics, logs, events, and time-series data. - Experience creating scalable reporting and visualization solutions in tools such as Grafana, Power BI, Tableau, or similar platforms. - Demonstrated ability to influence architecture decisions and partner effectively across engineering, infrastructure, and leadership stakeholders. - Strong written and verbal communication skills, including the ability to make complex technical concepts understandable and actionable for a broad audience. Preferred Qualifications - Experience working in test automation, CI/CD, software quality, reliability engineering, or related engineering environments. - Experience with observability tooling such as Grafana, Loki, Prometheus, InfluxDB, or similar technologies. - Experience handling engineering telemetry, event-based data, time-series data, or log-heavy systems at scale. - Experience supporting embedded systems, hardware/software integration environments, or device-adjacent data platforms. - Experience in regulated industries such as medical devices, healthcare technology, or other high-quality engineering environments. - Experience defining standards, governance approaches, retention strategies, lineage, and access control patterns for shared engineering data platforms. - Experience helping organizations move from fragmented or ad hoc reporting toward unified, scalable, and strategically governed data architectures. - Demonstrated history of providing technical leadership, architectural guidance, or mentorship to engineers across teams. Preferred Skills and Competencies - Strong systems thinking and architectural judgment - Ability to balance short-term delivery with long-term maintainability and scale - High attention to detail and commitment to data integrity - Comfort operating in ambiguous spaces and defining structure where one does not yet exist - Ability to translate unclear or evolving engineering needs into practical, scalable data solutions - Strong collaboration, advisory, and influence skills across teams without direct authority - Bias toward simplification, clarity, reuse, and technical durability - Sound judgment in selecting patterns, tradeoffs, and technologies appropriate for long-term platform evolution Additional Information - The position can be hybrid or in-person at our Acton, MA facility. The preferred location is Acton, MA. - Travel is estimated at 10% but will flex depending on business needs. NOTE: This position is eligible for hybrid working arrangements (requires on-site work from our Acton, MA office; may work remotely other days). #LI-Hybrid Additional Information: Compensation & Benefits: For U.S.-based positions only, the annual base salary range for this role is $118,800.00 - $178,200.00 This position may also be eligible for incentive compensation. We offer a comprehensive benefits package, including: - Medical, dental, and vision insurance - 401(k) with company match - Paid time off (PTO) - And additional employee wellness programs