{"id":3004846,"url":"https://alion.io/job/exl-cloud-solution-architect-dev-ops-engineer","title":"Cloud Solution Architect/ Dev Ops Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":232,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Cloudflare","optional":true},{"name":"Configuration Management","optional":true},{"name":"dbt","optional":true},{"name":"DuckDB","optional":true},{"name":"Git","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-12-01T12:11:48Z","employer_posted_date":"2025-12-01","last_verified_at":"2026-10-23T15:08:23Z","board_verified":true,"closed_at":null,"days_open":326,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":325},"description":"Job Title:\nJunior/Mid Cloud Solutions Architect & DevOps Engineer\nLocation:\n[Remote / On-site / Hybrid]\nAbout the Role:\nWe are looking for a curious and driven Junior to Mid-level Cloud Solutions Architect & DevOps Engineer to join our growing team. This role is a unique hybrid that blends cloud architecture and hands-on DevOps, with a focus on building scalable data lakehouse solutions across major cloud platforms (AWS, GCP, Azure). You will architect and implement infrastructure from the ground up, leveraging cloud storage, databases, container orchestration, serverless services, and more.\nYou’ll work individually initially but with clear pathways to grow into a leadership role, guiding and mentoring future team members.\nResponsibilities:\nDesign, build, and maintain cloud-based data lakehouse architectures using a combination of cloud storage, databases, VMs, Kubernetes, Docker, and serverless technologies.\nImplement SaaS-style application hosting via web and serverless platforms for end-user accessibility.\nManage infrastructure configurations including secrets, environment variables, and secure access controls.\nBuild and maintain CI/CD pipelines and adopt GitOps practices to streamline deployments.\nOptimize cloud resource usage for cost efficiency without compromising performance.\nCollaborate with cross-functional teams to ensure seamless integration and deployment of cloud solutions.\nContinuously learn and stay updated on new cloud services, big data technologies, and best practices.\nPrepare to take on leadership responsibilities as the team grows.\nRequired Skills & Experience:\nPractical experience with at least one major cloud platform (AWS, GCP, Azure); willingness and ability to learn others.\nStrong programming skills in Python and SQL. Experience with PySpark is a bonus.\nFamiliarity with containerization (Docker) and orchestration (Kubernetes).\nExperience with version control systems (Git) and CI/CD tools.\nUnderstanding of cloud services pricing models to help design cost-effective solutions.\nSolid grasp of DevOps practices, including configuration management, secrets handling, and environment setup.\nSelf-motivated, eager to learn, and able to work independently.\nNice to Have (Bonus):\nPrior experience with big data platforms or streaming data solutions like Kafka.\nKnowledge of modern analytics and data stack tools (e.g., dbt, DuckDB, Cloudflare R2).\nUnderstanding of cloud networking, VPNs, security features, and firewall configurations.\nWhat We Offer:\nOpportunity to shape and lead a growing cloud architecture and DevOps team.\nExposure to cutting-edge cloud technologies across multiple providers.\nCollaborative and supportive work environment that values curiosity and continuous learning.\nCompetitive salary and benefits package.\nAbout EXL Sports Analytics:\nEXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.\nAbout EXL:\nEXL (NASDAQ:EXLS) is a leading data analytics and operations management company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Headquartered in New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.\n Job Title:\nJunior/Mid Cloud Solutions Architect & DevOps Engineer\nLocation:\n[Remote / On-site / Hybrid]\nAbout the Role:\nWe are looking for a curious and driven Junior to Mid-level Cloud Solutions Architect & DevOps Engineer to join our growing team. This role is a unique hybrid that blends cloud architecture and hands-on DevOps, with a focus on building scalable data lakehouse solutions across major cloud platforms (AWS, GCP, Azure). You will architect and implement infrastructure from the ground up, leveraging cloud storage, databases, container orchestration, serverless services, and more.\nYou’ll work individually initially but with clear pathways to grow into a leadership role, guiding and mentoring future team members.\nResponsibilities:\nDesign, build, and maintain cloud-based data lakehouse architectures using a combination of cloud storage, databases, VMs, Kubernetes, Docker, and serverless technologies.\nImplement SaaS-style application hosting via web and serverless platforms for end-user accessibility.\nManage infrastructure configurations including secrets, environment variables, and secure access controls.\nBuild and maintain CI/CD pipelines and adopt GitOps practices to streamline deployments.\nOptimize cloud resource usage for cost efficiency without compromising performance.\nCollaborate with cross-functional teams to ensure seamless integration and deployment of cloud solutions.\nContinuously learn and stay updated on new cloud services, big data technologies, and best practices.\nPrepare to take on leadership responsibilities as the team grows.\nRequired Skills & Experience:\nPractical experience with at least one major cloud platform (AWS, GCP, Azure); willingness and ability to learn others.\nStrong programming skills in Python and SQL. Experience with PySpark is a bonus.\nFamiliarity with containerization (Docker) and orchestration (Kubernetes).\nExperience with version control systems (Git) and CI/CD tools.\nUnderstanding of cloud services pricing models to help design cost-effective solutions.\nSolid grasp of DevOps practices, including configuration management, secrets handling, and environment setup.\nSelf-motivated, eager to learn, and able to work independently.\nNice to Have (Bonus):\nPrior experience with big data platforms or streaming data solutions like Kafka.\nKnowledge of modern analytics and data stack tools (e.g., dbt, DuckDB, Cloudflare R2).\nUnderstanding of cloud networking, VPNs, security features, and firewall configurations.\nWhat We Offer:\nOpportunity to shape and lead a growing cloud architecture and DevOps team.\nExposure to cutting-edge cloud technologies across multiple providers.\nCollaborative and supportive work environment that values curiosity and continuous learning.\nCompetitive salary and benefits package.\nAbout EXL Sports Analytics:\nEXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. We work with some of the topmost sports organizations in the world.\nAbout EXL:\nEXL (NASDAQ:EXLS) is a leading data analytics and operations management company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Headquartered in New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Sports Analytics team provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach to clients in the sports industry. 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