• Keeping systems and services running smoothly with minimal downtime by focusing on availability, reliability, and scalability. • Developing and maintaining tools and scripts to automate repetitive tasks such as deployments, configuration management, and monitoring. • Implementing and managing monitoring and alerting systems to provide visibility into system performance and quickly detect potential issues. • Responding to, diagnosing, and resolving system incidents, including conducting post-mortems to prevent future occurrences. • Monitoring system resource usage to forecast future needs and scale systems accordingly to handle increasing user load. • Collaborating with stakeholders to identify operational risks and implementing strategies to reduce their likelihood and impact. • Analyzing metrics from operating systems and applications to identify areas for performance improvement. • Provide direction to a team of direct reports and matrixed resources in alignment with Site Reliability objectives. • Manage performance of SRE team members through regular 1:1s, coaching sessions, performance reviews, and performance management when necessary.

Code for America believes government can work for the people, by the people, in the new digital age, and that government at all levels can and should work well for all people. For more than a decade, we’ve worked to show that with the mindful use of technology, we can break down barriers, meet community needs, and find real solutions. Our employees build and transform government and community tools and services, making them so good they inspire change. We merge the best parts of technology, nonprofit, and government to help support the people who need it most. With a focus on transparency and fairness, and deep empathy for partners in government and community organizations and the people that our partners serve, we’re building a movement of motivated change agents driven by meaningful results and lasting impact. At Code for America, you contribute to exciting work while learning and developing in a supportive and flexible environment. Our compensation and benefits are holistic and thoughtfully curated to represent our employees and our mission. Help us drive real generational change that lasts. Code for America is looking for a talented Staff DevOps Engineer who will play a critical role in transforming compliance from a constraint into an operational strength. Through hands-on execution across cloud infrastructure, CI/CD, and monitoring, you ensure that security, availability, and data integrity are built into the platform by default. This work allows civic programs to scale responsibly while maintaining public trust. About the role: We’re seeking an experienced Staff DevOps Engineer to help design, automate, and scale secure, compliant cloud infrastructure supporting containerized and AI-powered applications. The ideal candidate thrives in fast-paced, compliance-driven environments (SOC 2, HIPAA, or similar) and is passionate about Infrastructure-as-Code (IaC), CI/CD, and enabling developer velocity through automation and best practices. This role will report to the Director of Product Engineering and is expected to travel no more than 10% of the time. This is a full-time, term-limited position for 1 year. Code for America is based in California and can employ those who reside full-time within the United States. This is a remote position. In this position you will: - Develop and optimize CI/CD pipelines using GitHub Actions for secure, automated deployments - Implement, maintain, and monitor containerized applications (Docker, Kubernetes, ECS, or EKS) - Collaborate closely with engineering and security teams to ensure compliance with frameworks such as SOC 2, HIPAA, and NIST 800-53 - Automate cloud resource provisioning, scaling, and governance with reusable modules and policy-as-code - Manage and monitor infrastructure for performance, reliability, and cost optimization - Contribute to and enforce secure DevOps best practices (least privilege, secrets management, audit logging, vulnerability scanning) - Support platform integration for AI/ML workloads, container orchestration, and environment isolation - Other duties as assigned About you: The position is a perfect fit ​​if you are someone who likes to document, teach, and design for reuse, with a strong passion for building systems that are reliable, accessible, and worthy of trust. You’re someone who likes to get your hands dirty while also thinking about how today’s solutions become tomorrow’s foundations. - 3–5+ years of hands-on DevOps, SRE, or infrastructure engineering experience - Deep experience with AWS (CloudFormation, IAM, ECS/EKS, Lambda, CloudWatch, S3, VPC, RDS) - Strong communication, documentation, and collaboration skills in matrixed organizations - Familiarity with Azure or Google Cloud Platform (GCP) a plus - Proficient in GitHub Actions, Docker, and Kubernetes It’s a bonus if you have: - Aptible (deployment or compliance automation experience) - AI/ML infrastructure (GPU orchestration, model serving, or AI workflows) - Scripting in Ruby, Python, Bash, or Go for automation and tool development What you’ll get - Salary: Code for America’s salary bands are transparent as a part of our commitment to transparency and fairness. As part of our hiring practices, we aim to target the midpoint of the 2nd quartile of the range for all new hires. Offer targets vary based on market / geographic location. The offer targets for this role range from $128,945 to $157,850, annually. Benefits and Perks: - Values: - Leadership and teammates who share a strong work ethic and values, and who respect and care for one another - A collaborative, cross-functional, hardworking, and joyful environment - Employee Enablement Support: - Laptop provided - A one-time $700 payment for remote environment setup; $200 stipend (in first paycheck) and up to $500 reimbursement, in accordance with our equipment policy - Cell phone and/or internet reimbursement of $50 per month - Professional Development: - $500 annual (per calendar year) stipend towards professional development; prorated at time of hire - Up to $500 of professional development funds can be rolled over each year, up to a maximum of $1000 - Training / guidance for staff required to utilize AI as part of their role, plus opportunities for employees to gain AI-related skills to support job and career growth - Retirement & 401k Plans: - Employees receive a 100% employer match on the first 3% of contributions. - Employees with 3+ years of service receive an additional 50% match on contributions between 3% and 5%, for a maximum employer contribution of 5% - Medical: - At least one no cost health insurance option for full-time employees for employee-only coverage - A minimum of 80% of the cost of dependent coverage - Remote Work: - Code for America employees may work remotely across the US - Code for America employees main residence must be within the US - Full-time employees work 40 hours per week, Monday - Friday - Collaborative working hours: we aim to hold all internal meetings between 10 AM - 3 PM PT. We expect all Code for America staff to be available during these set working hours - Time Off: - Open personal time off (subject to manager approval), a minimum of 14 paid holidays, and an org-wide closure from Christmas Day through New Year's Day - Paid sick time; up to 96 hours annually - 17 weeks of paid parental and family leave - 3 weeks of paid sabbatical after 5 years of service Equal Employment Opportunity: Code for America is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws. Code for America Workers United: This position is not covered by a Collective Bargaining Agreement between Code for America and Code for America Workers United, affiliated with OPEIU, Local 1010. The agreement was ratified on January 13, 2026, and is currently in effect. #LI-MD1 #LI-Remote

• Collaborate with application teams to prioritize and deliver new user-facing functionality, including data ingestion capabilities, subscription-based data consumption models, and advanced analytics features • Design and implement internal platform capabilities such as comprehensive monitoring and alerting systems, automated testing frameworks, and performance optimization tools • Manage and maintain support queues across data platform domains (Ingest, Prepare, Storage, Consume) while establishing and meeting agreed-upon SLAs • Design, build, and maintain Infrastructure as Code solutions using Terraform, including modules, workspaces, state management, and CI/CD integration • Standardize environment provisioning processes across development, staging, and production environments • Develop scalable, reliable, and well-monitored infrastructure components that form the backbone of JLL's data platform • Champion and implement "Infrastructure as Code" practices across the entire platform team • Establish comprehensive tagging strategies, budget controls, and chargeback mechanisms to ensure transparent cost allocation • Optimize compute, storage, and job configurations for cost efficiency while maintaining performance standards • Mentor and coach application teams on tools, technologies, and design patterns to promote best practices across the organization • Participate in monthly Architecture Review Board meetings, providing technical expertise and infrastructure perspective • Collaborate closely with application team leads to ensure CI/CD frameworks, component monitoring, and incident escalation procedures meet team needs • Work with data engineers, data scientists, and business stakeholders to unblock deliverables and enable rapid innovation • Drive continuous improvement initiatives to enhance platform reliability, performance, and cost-effectiveness

Job Description Location: Any State of Mexico REQUIREMENTS - 3 YOE in data analysis, modeling and visualization - Proficiency with multiple data engineering/extract-transform-load (ETL) tools and languages (e.g., Python, Google Cloud DataFlow, etc.) - Experience working with SQL - Experience with cloud-based platforms and technologies (e.g., Google Cloud Platform) - Experience participating on agile teams with other engineers. - Experience with high-volume, scalable, enterprise data development - Demonstrated presentation and communication skills. - Thorough knowledge of business intelligence and analytics platforms (e.g., Power BI, Google BigQuery, Vertex AI, Business Objects, etc. - Fluent English level RESPONSIBILITIES - Act as a data delivery expert on development projects affecting the organization’s goals and delivery priorities - Works with Data Architects, Solution Architects, Data Scientists, and Application Developers on sound product design and consistent approach across data products. - Execute the data development process through pipeline creation, testing, deployment, and quality control. - Adhere to standards for design and quality across team products, using approved data delivery tasks and tooling. - Build prototypes, Proofs of Concept and/or demonstration examples for leadership and stakeholders for new data application needs and/or new technologies to employ, if defined by Architects or Lead Developers. - Participate in team planning sessions related to data products to ensure proper planning, prioritization, and scheduling. - Participate in troubleshooting activities to resolution and implement corrective actions where needed.