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Temporary Evidence Synthesis Jobs (NOW HIRING)

Shield AI

Staff DevSecOps Engineer (R5824)

San Diego, CA · On-site

$152K - $228K/yr

... synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle ... Build mechanisms for audit evidence, configuration validation, and compliance reporting Identify ...

Shield AI

Staff DevSecOps Engineer (R5824)

San Diego, CA · On-site

$150K - $230K/yr

... synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle ... Build mechanisms for audit evidence, configuration validation, and compliance reporting Identify ...

Shield AI

Staff DevSecOps Engineer (R5824)

San Mateo, CA · On-site

$180K - $280K/yr

... synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle ... Build mechanisms for audit evidence, configuration validation, and compliance reporting Identify ...

Shield AI

Staff DevSecOps Engineer (R5824)

San Mateo, CA

$180K - $280K/yr

... synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle ... Build mechanisms for audit evidence, configuration validation, and compliance reporting Identify ...

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Temporary Evidence Synthesis information

What is a temporary evidence synthesis?

A Temporary Evidence Synthesis is a short-term or project-based role focused on collecting, evaluating, and summarizing research findings to inform decisions, policies, or guidelines. Individuals in this position systematically review available evidence, often for time-sensitive projects or emerging issues. They may work within academic, healthcare, or policy organizations to deliver clear and concise reports. The role requires strong analytical skills and the ability to interpret scientific studies efficiently.

What are some typical challenges faced by professionals in temporary evidence synthesis roles, and how are they addressed?

Professionals in Temporary Evidence Synthesis often face tight deadlines, rapidly changing project scopes, and the need to quickly appraise large volumes of literature. To address these challenges, teams typically use standardized protocols and systematic review tools to streamline the evidence-gathering process. Regular communication with project stakeholders and collaboration with subject matter experts are also key strategies to ensure the synthesis remains focused, relevant, and high-quality despite time constraints.

What are the key skills and qualifications needed to thrive as a temporary evidence synthesis specialist, and why are they important?

To thrive as a Temporary Evidence Synthesis Specialist, strong analytical skills, experience in literature review, and a background in fields such as public health, medicine, or social sciences are generally required. Familiarity with systematic review software (e.g., Covidence, RevMan), reference management tools, and an understanding of evidence grading frameworks like GRADE is typical. Attention to detail, strong written communication, and the ability to work independently under tight deadlines are critical soft skills. These competencies ensure the accurate, timely, and credible synthesis of research evidence to inform decision-making.

What is the difference between Temporary Evidence Synthesis vs Evidence Analyst?

AspectTemporary Evidence SynthesisEvidence Analyst
CredentialsTypically requires research or health-related certifications, often with temporary or contract experienceRequires similar research or data analysis certifications, often with ongoing professional development
Work EnvironmentUsually project-based, temporary settings within research institutions or healthcare organizationsPermanent or long-term roles within research teams, government agencies, or private firms
Industry UsageCommon in healthcare, clinical research, and policy development sectorsWidely used in research, healthcare, and data analysis industries

Temporary Evidence Synthesis professionals focus on short-term projects to compile and analyze evidence, often in healthcare or research settings. Evidence Analysts typically hold ongoing roles, analyzing data and evidence to inform decisions. While both roles require similar skills and certifications, their employment duration and project scope differ.

More about Temporary Evidence Synthesis jobs

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What are the most commonly searched types of Evidence Synthesis jobs?

The most popular types of Evidence Synthesis jobs are:

What states have the most Temporary Evidence Synthesis jobs?

States with the most job openings for Temporary Evidence Synthesis jobs include:

What job categories do people searching Temporary Evidence Synthesis jobs look for?

The top searched job categories for Temporary Evidence Synthesis jobs are:

Temporary Evidence Synthesis jobs near you
Infographic showing various Temporary Evidence Synthesis job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 64% Physical, 2% Hybrid, and 34% Remote job distribution.

Staff DevSecOps Engineer (R5824)

San Diego, CA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$152K - $228K/yr

Full-time

Posted 8 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description
Cloud Engineering builds and operates the infrastructure and environments that support Shield AI's software products and platforms.
As a DevSecOps Engineer, you will design, build, and automate security controls across cloud infrastructure, software delivery systems, and containerized workloads. You will partner with Cybersecurity, Infosec, Build Engineering, and product teams to turn security and compliance requirements into practical engineering controls.
This is a hands-on engineering role focused on making secure configurations repeatable and maintainable. You will work across infrastructure, containers, CI/CD systems, and platform services to reduce security risk without creating unnecessary friction for engineering teams.
What You'll Do
  • Design and implement security controls across AWS infrastructure and platform services
  • Build and maintain hardened container images and secure base images for engineering and production workloads
  • Integrate vulnerability, dependency, container, and configuration scanning into software delivery systems
  • Automate security and compliance checks to reduce manual review and improve consistency
  • Implement secrets management, identity, and access controls across infrastructure and engineering systems
  • Build mechanisms for audit evidence, configuration validation, and compliance reporting
    Identify security weaknesses in infrastructure, containers, and delivery systems and drive remediation with owning teams
  • Partner with Cybersecurity and Infosec to translate security requirements into scalable engineering controls
  • Work with Build Engineering and Cloud Engineering to integrate security controls without compromising reliability or developer workflows
  • At the Staff level, Define reusable patterns and drive adoption of security engineering practices across multiple teams

Required Qualifications
  • 5+ years of related experience for Senior Engineer or 7+ years for Staff Engineer, or equivalent education and experience.
  • Experience implementing security controls in AWS or another major cloud environment
  • Experience with infrastructure-as-code and automated infrastructure provisioning
  • Experience securing containerized workloads and building or maintaining hardened container images
  • Experience integrating security tooling into CI/CD or software delivery systems
  • Experience with vulnerability management, dependency scanning, container scanning, or configuration validation
  • Experience implementing identity, secrets, and access controls in cloud or engineering environments
  • Experience automating security or infrastructure tasks using Python, Go, Bash, or a similar language
  • Ability to diagnose security and configuration issues across infrastructure, containers, and platform services
  • Experience working with security and engineering teams to implement shared technical controls

Preferred Qualifications
  • Experience operating systems in regulated or compliance-driven environments
  • Experience with Kubernetes security, workload identity, or container runtime controls
  • Experience building reusable hardened images or secure infrastructure baselines used across multiple teams
  • Experience with cloud security posture management, policy-as-code, or automated compliance tooling
  • Experience supporting audit evidence collection or continuous compliance workflows
  • Familiarity with software supply-chain security, artifact integrity, or signing/attestation workflows

$152,000 - $228,000 a year
#LI-DM2
#LD
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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