{"id":1284848,"url":"https://alion.io/job/xtag-services-pythonmlopsaws-developer","title":"Python/MLOps/AWS Developer","company":{"id":3800680,"name":"xTag Services","domain":"xtagservices.com","url":"https://alion.io/company/xtag-services","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Flask","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Scrum","optional":false},{"name":"Dynatrace","optional":true},{"name":"Kubernetes","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Splunk","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-08-19T09:06:07Z","employer_posted_date":null,"last_verified_at":"2026-08-19T09:06:07Z","board_verified":false,"closed_at":null,"days_open":38,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":38},"description":"Python, MLOps & AWS Developer / Technical Lead\n\nExperience : 6 to 12 Years\n\nLocation : Hyderabad\n\nNotice Period : Immediate to 30 Days\n\nWork Mode : Hybrid 2 days per week from client office\n\nEducation : BE/B.Tech/MCA preferred. Any relevant postgraduate qualification may also be considered.\n\nRole Overview : We are looking for an experienced Python, MLOps and AWS Developer with strong expertise in designing and developing scalable cloud-native applications and machine learning platforms. The ideal candidate should have strong hands-on experience with Python, AWS, MLOps platforms, microservices, APIs, distributed systems and CI/CD, along with the ability to contribute to architecture and technical leadership initiatives.\n\nKey Responsibilities : \n\n- Design, develop and deploy reliable, scalable, secure and cost-effective cloud-native solutions on AWS.\n\n- Develop backend applications and services using Python, Flask, Django, AsyncIO and related frameworks.\n\n- Design and implement APIs, microservices and real-time distributed applications.\n\n- Build and maintain MLOps solutions using platforms such as AWS SageMaker, Kubeflow and MLflow.\n\n- Work with AWS services including EKS, S3, RDS, Lambda, Aurora and ECS/Fargate.\n\n- Design solutions following the AWS Well-Architected Framework and cloud best practices.\n\n- Develop and maintain CI/CD pipelines using tools such as Jenkins, CodeCommit, CodeDeploy, CodePipeline and Harness.\n\n- Integrate applications with messaging and queueing platforms such as Kafka, RabbitMQ and SQS.\n\n- Implement monitoring, logging, health checks, error detection and recovery strategies for distributed systems.\n\n- Participate in system integration, testing, troubleshooting and performance optimization.\n\n- Contribute to technical architecture, design reviews and engineering best practices.\n\n- Work closely with globally distributed and cross-functional teams.\n\n- Mentor team members and help establish engineering processes and best practices.\n\nRequired Skills : \n\n- 6 to 12 years of software engineering experience.\n\n- 5+ years of hands-on experience with AWS.\n\n- Strong proficiency in Python.\n\n- Hands-on experience with Flask, Django, AsyncIO or similar Python frameworks.\n\n- Strong experience with AWS cloud architecture and deployment.\n\n- Strong understanding of cloud computing technologies and workload transition challenges.\n\n- Experience with AWS SageMaker, Kubeflow, MLflow or equivalent MLOps platforms.\n\n- Strong understanding of distributed systems, microservices and API development.\n\n- Experience with EKS, S3, RDS, Lambda, Aurora, ECS/Fargate or similar AWS services.\n\n- Experience with CI/CD and DevOps practices.\n\n- Experience with Kafka, RabbitMQ, SQS or similar messaging technologies.\n\n- Strong software development lifecycle and Agile/Scrum knowledge.\n\n- Strong analytical and problem-solving skills.\n\n- Excellent communication and documentation skills.\n\n- Ability to work effectively with globally distributed teams.\n\nNice to Have : \n\n- Experience with Dynatrace, Splunk or similar monitoring/logging tools.\n\n- Experience with TensorFlow, PyTorch or Scikit-learn.\n\n- Experience with Kubeflow, MLflow or Airflow.\n\n- Experience building automated and scheduled analytical/ML pipelines.\n\n- Experience in technical leadership, software architecture or mentoring.\n\nSkills\nPython, MLOps, AWS, Flask, Django, Kafka, Cloud Computing, Distributed Systems, Microservices Architecture, CI/CD, Cloud Architect","description_format":"text","description_chars":3463,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.572,"p_room":0.45,"age_days":37,"expected_fill_days":24,"reasons":["seen:37","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/xtag-services-pythonmlopsaws-developer","json_url":"https://alion.io/job/xtag-services-pythonmlopsaws-developer.json","meta":{"generated_at":"2026-09-27T04:20:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3944,"day_limit":5000,"remaining_today":1056,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}