• Install, configure, administer, and support Core Banking systems and services across different environments (DEV/UAT/PROD). • Automate operational and deployment activities using Rundeck and Ansible (job orchestration, playbooks/roles, inventories, and secure credential management). • Create and maintain runbooks, operational procedures, and standard documentation to enable repeatable and auditable executions. • Provide production support and participate in incident response, including triage, remediation, and post-incident analysis (RCA/problem management). • Monitor system health and performance; implement proactive improvements to availability, resilience, and capacity. • Manage configuration, patching, and lifecycle of operating system, middleware, and application components, ensuring compliance with internal controls. • Coordinate management, renewal, and deployment of digital certificates (e.g., TLS/SSL), including inventory, expiry monitoring, change planning, validation, and documentation to prevent service disruption. • Work with application, infrastructure teams, and vendors to troubleshoot complex end-to-end issues and ensure timely resolution. • Support change management by planning, testing, documenting, and executing changes with risk assessment and appropriate approvals. • Contribute to the improvement of CI/CD and release practices (version control, artifact management, environment consistency), where applicable. • Apply security best practices, including hardening, access control, secrets management, and auditability.

• Embed temporarily into the team that owns the problem - client engineering org or internal Netguru team • Run discovery with stakeholders from CTO down to end-user • Translate ambiguous pain into a written technical scope you can defend • Lead pre-sales on AI opportunities - scope, price, propose, close • Prototype in days, not weeks - working software, not slides • Write production-grade Python or TypeScript (or whatever the client runs) • Ship AI-enabled workflows: copilots, agents, RAG systems, automation, internal tooling • Integrate with the client's existing stack • Stand up evals, observability, and guardrails before going live • Own the path to production: security review, procurement, change management • Extend Netguru's internal AI platform with new agents, MCPs, and skills based on field learnings • Build enablement tooling for internal AI delivery teams — templates, runbooks, reusable skills • Codify reusable client patterns back into NetguruOS

About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. What You Will Do: You will wear multiple hats, from technical deployment and execution to product strategy. You will work closely with existing customers, engineering, and growth leads to ensure ASI’s products are continuously delivered to the end user successfully. Your focus will be ensuring the success of ASI’s delivery and execution with customers and end users. What We Value: - A bias for action and distinct aptitude for problem solving in ambiguous environments. - Technical fluency, competency, and curiosity. - Experience with or desire to learn hands-on technical deployment skills (e.g., basic Kubernetes-based deployments, application performance monitoring) - Familiarity with Department of War organizations, culture, and end user needs. - Ability to embed in technical customer work flows, understand customer data, and drive product scale. - Comfort operating in classified network environments (e.g., SIPR, JWICS) - Recent or current U.S. Security Clearance or eligibility to obtain a U.S. Security clearance. How We Hire: We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you. ASI works with export controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties.

Role Description Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, implement, and operate CI/CD pipelines supporting application, data, and platform deployments across Azure and Databricks environments. - Own production reliability, availability, performance, and scalability for cloud platforms, including Databricks workspaces, jobs, clusters, and workflows. - Build and maintain Infrastructure as Code (IaC) and configuration management to provision and manage Databricks, cloud infrastructure, and networking in a repeatable and secure manner. - Automate Databricks environment management, including workspace configuration, cluster policies, job orchestration, and access controls. - Implement and enhance monitoring, alerting, and observability across cloud and Databricks platforms using Splunk, Azure Monitor, and telemetry frameworks. - Partner with data engineering, platform, security, and product teams to enable reliable, compliant, and scalable data pipelines and analytics platforms. - Drive cloud and platform modernization initiatives, including containerization, platform standardization, and Databricks best practices. - Embed AI‑assisted DevOps practices, leveraging GenAI tools to accelerate troubleshooting, automate operational tasks, improve deployment reliability, and optimize system performance. - Enable AIOps capabilities such as intelligent alerting, anomaly detection, log analysis, and predictive insights for proactive operations across Databricks workloads. - Support production issue triage and resolution, including on‑call support, incident management, and post‑incident root cause analysis. - Ensure security‑by‑design and compliance across pipelines and platforms, including secrets management, RBAC, audit readiness, and governance. - Continuously reduce operational toil and improve delivery velocity through automation, AI‑driven insights, and self‑service tooling. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. Qualifications - Bachelor's degree in Computer Science, IT or Engineering related field. - 5+ years of experience in DevOps, Platform Engineering. - 5+ years of experience with CI/CD tools such as Git, Jenkins, or equivalent enterprise platforms. - 3+ years of experience with .NET, Angular and Typescript. - 3+ years of proven experience operating and supporting any one Azure public cloud infrastructure. - 3+ years of experience in scripting or programming languages (Python, Shell, or similar) with a strong automation mindset. - 3+ years of experience in Infrastructure as Code (IaC): Terraform‑based, repeatable environment provisioning. - 1+ years of hands‑on experience with Databricks platform operations, including clusters, jobs, workflows, and environment configuration. Requirements - Experience with Infrastructure as Code, automation, and configuration management practices. - Experience supporting mission‑critical data and analytics platforms, including incident management and RCA. - Experience with containerization and orchestration technologies (Docker, Kubernetes, AKS). - Experience operating in security‑ and compliance‑driven environments, including RBAC, audit controls, and governance. - Prior experience mentoring engineers or acting as a technical lead within DevOps or platform initiatives. - Solid understanding of monitoring, logging, and observability in large‑scale production environments. - Strong communication skills and ability to collaborate with cross‑functional engineering teams. - Exposure to AI‑enabled DevOps or AIOps, including automated remediation, intelligent monitoring, or predictive analytics. - Familiarity with GenAI tools for AI‑assisted troubleshooting, pipeline optimization, or operational insights. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.