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DevOps Engineer - Project Delivery Specialist Analyst Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced DevOps Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do Contribute to full lifecycle of new feature development, including analysis, design, construction, testing and rollout Play key role in automation and review process. Updating knowledge base and skillsets with emerging technologies and provide advice and direction for best use in team's tech stack. Provide operational support on applications to stakeholders. Consult with application teams and other technology groups on deliveries and issues, recommend advanced programming and operation solutions. Be able to operate with a limited level of direct supervision both technically and on project delivery. Exercise independence of judgement and autonomy, challenge decisions. Ensuring that systems are safe and secure against risks and threats. Automate daily routine DevOps activities, development and release processes. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for cloud architectures, configurations, and operational procedures. Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes The team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements. Qualifications 6+yrs as a Cloud Engineer, DevOps Engineer, or SRE in a mid-level or senior capacity. DevOps having knowledge on Pinot and Big data cluster management. 6+ years of relevant experience in IT Good understanding of core Java ecosystem, microservice architecture and distributed system design Experience with Kubernetes, Openshift, Docker; Experience with Linux and Bash scripting; Good understand of Continuous Integration and Continuous Deployment practices It is a plus to have knowledge/experience with Cloudera, AWS Good analytical and communication skills Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience Limited immigration sponsorship may be available Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred Qualifications Public cloud provider certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional DevOps Engineer). Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions). Familiarity with configuration management tools like Ansible. Experience with database services (relational and NoSQL) in the cloud. Knowledge of disaster recovery and business continuity strategies in a multi-cloud environment. Experience with GitOps principles and tools. Analytical/ Decision Making Responsibilities Analytical ability to manage multiple projects and prioritize tasks into manageable work products Can operate independently or with minimum supervision Excellent Written and Communication Skills Ability to deliver technical demonstrations Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com . Benefits This position is aligned with the Project Delivery Model. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,700 to $162,800
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.