• Design and execute application modernization strategies (rehost, replatform, refactor, rebuild) • Develop and maintain cloud-native applications using modern frameworks and architectures • Implement and evolve DevOps practices, including CI/CD pipelines and infrastructure automation • Design scalable and resilient application architectures on Google Cloud • Utilize Application Development Kits (ADKs) and modern development frameworks • Collaborate with cross-functional teams to ensure alignment between architecture, development, and operations • Optimize application performance, scalability, and cost efficiency • Support cloud migration and transformation initiatives

• Manage and improve the flow of value through value streams by assessing and optimizing the practices utilized within the respective teams (DevOps, Product Owners, Security, Architecture, etc.) • Lead multiple, dynamic value streams and foster collaboration internally and externally – including cross-functional and external consultant team members assigned to projects within a program - to ensure alignment to the ARTs strategic objectives. • Facilitate Big Room Planning readiness by enabling process adherence and coaching that drives alignment of the Vision, Roadmap, Releases, and Backlogs, through Pre- and Post-Big Room Planning events. • Facilitate the coordinated preparation and execution of release planning for the ART. • Work with key members of the ART to prioritize and refine the features to be considered in the next Big Room Planning cycle. • Ensure that the goals of each value stream are in strategic alignment with the ART-level key results following Big Room Planning sessions. • Drive agility and improvement by managing ART-level risks and dependencies. • Assist in the removal of impediments to ensure value is consistently being delivered. • Functions as a servant leader fostering Lean-Agile Continuous Delivery, promoting and coaching Lean-Agile principles, and empowering individual teams to become self-managing. • Proactively and consistently communicate with the team, business owners, and leaders to ensure all impacted stakeholders understand risks, issues, and activities related to the value stream.

Description Why YOU want this position At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world. We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy. The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds. Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow. Performance Objectives - Suggesting and maintaining continuous integration/continuous deployment pipelines to automate code testing and deployment - Tracking software performance, resolving errors, monitoring and troubleshooting applications, implementing preventive measures for smooth roadmaps, and building automated processes - Enhancing application platform resources and implementing cost-effective solutions - Implementing and managing infrastructure using code rather than manual processes. Uses Terraform or CloudFormation for Infrastructure as Code (IaC) management - Be a team player with the ability to work effectively across multi-discipline teams in a global setting. Assistance in resolving issues quickly and deploying new features smoothly. - Monitoring and creating new processes based on performance analysis - Better management of the software development process and implementation of configuration management tools - Automating and scripting repetitive tasks to improve team efficiency - Maintenance of security best practices, including automated compliance checks and secure code deployment - Information sharing on best practices through documentation and handovers. must prioritize ongoing development, be self-driven, and maintain a high standard of attention to detail. Competitive Candidate Profile - Hands-on experience with CI/CD tools - Good knowledge in infrastructure as code tools. Preferably Terraform. - Familiarity with monitoring and logging tools. Preferably Grafana. - Skill in Docker for packaging applications and Kubernetes for managing containers - Experience with both MongoDB (NoSQL) and MS SQL Server (RDBMS), particularly those that involve managing diverse data systems and modern cloud environments. - Strong problem-solving and troubleshooting skills - Excellent communication and collaboration skills to ensure proper teamwork - Proficiency in scripting languages like Python, PowerShell, etc. - A bachelor's degree in computer science, Engineering, or a related discipline, or equivalent industry experience with minimum 2-3 years of work experience in DEVOPS / Technical support department - Ability to multi-task and prioritise under pressure, while maintaining high quality output and deadlines. Documentation and handovers on the best practices Nice to have - Certification in cloud platforms like AWS certified DevOps engineer - Good knowledge of agile methodologies and practices

Role Description As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing - Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you. - Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them. - Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between. - Owning the reliability, security, and cost of both classical systems and LLM pipelines. - Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI. - Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing - Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you. - Writing tickets for junior engineers to implement. - Sitting in status meetings all day — few meetings, more shipping. - Working on a narrow slice of a giant codebase. Key responsibilities - Ship production code and AI features real students, parents, and staff rely on every day. - Own at least one major system end-to-end. - Move fast — features go from idea to production in days, not quarters — without breaking things. - Raise the AI-engineering bar as the team grows. Qualifications - Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics. - 6+ years of full-time production engineering experience shipping software to real users at real scale. - At least one prior senior, staff, or tech-lead role. - Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software. - At least one shipped LLM-powered feature in production, with an eval story. - Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP). - Excellent written English. - Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have - Master's or PhD from a tier-1 institution. - Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale. - Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents. - Public GitHub or a personal AI project we can actually try. - A personal project you built because you wanted to.