{"id":3403002,"url":"https://alion.io/job/mindera-senior-dataops-engineer-aws-security-focused","title":"Senior DataOps Engineer (AWS & Security Focused)","company":{"id":54054,"name":"Mindera","domain":"mindera.com","url":"https://alion.io/company/mindera","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":89,"open_postings":27,"ghost_share":0,"stale_share":0.259,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":42000,"period":"year","method":"role_seniority_country_cell","sample_n":58},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"AWS Lambda","optional":true}],"status":"live","first_seen_at":"2026-10-28T15:11:43Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T22:01:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for a Senior DataOps Engineer with strong hands-on experience in AWS, data platform engineering, infrastructure automation, and cloud security.\nIn this role, you will design, build, automate, and secure scalable AWS-based data platforms. You will work across cloud infrastructure, data processing, CI/CD, orchestration, and security, ensuring our data ecosystem remains reliable, efficient, and compliant.\nWe are looking for someone who enjoys solving complex technical challenges, exploring emerging technologies, and continuously improving cloud infrastructure through automation and security-first engineering practices.\nJob title: Senior DataOps Engineer (AWS & Security Focused)\nDepartment: Engineering / Data Engineering\nWorkplace type: Remote\nExperience: 6-12 years\nEmployment type: Full-time\nRequirements\nKey Responsibilities\nAWS Data Platform Engineering\nDesign, deploy, and maintain scalable, highly available AWS data infrastructure.\nWork with AWS services such as S3, Glue, EMR, Athena, Redshift, and Kinesis.\nOptimise infrastructure performance, reliability, and cost efficiency.\nCloud Security & DevSecOps\nImplement security best practices across AWS infrastructure and data pipelines.\nManage identity and access controls using AWS IAM, applying least-privilege principles.\nImplement encryption, secrets management, network security, and data protection controls using AWS KMS, Secrets Manager, VPC, and related services.\nLeverage AWS GuardDuty, CloudTrail, and monitoring tools to strengthen security visibility, auditing, and compliance.\nInfrastructure Automation & CI/CD\nBuild and maintain infrastructure using Terraform and Infrastructure as Code (IaC).\nDevelop and manage automated CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline.\nContainerise applications and manage containerised workloads using Docker and Kubernetes.\nAutomate infrastructure provisioning, configuration, deployment, and operational processes.\nData Orchestration & Governance\nBuild and maintain reliable data workflows using Apache Airflow, Amazon MWAA, or AWS Step Functions.\nWork with modern data engineering tools such as dbt.\nImplement monitoring, logging, governance, and automated compliance checks across data workflows.\nIdentify and resolve infrastructure bottlenecks and data platform reliability issues.\nContinuous Improvement & Innovation\nResearch and evaluate emerging AWS services, cloud security practices, and open-source tools.\nDevelop proof-of-concepts to address complex infrastructure and operational challenges.\nDrive continuous improvements in automation, security, scalability, and operational efficiency.\nRequired Skills & Qualifications\n6+ years of professional experience in DataOps, DevOps, Data Engineering, or Cloud Platform Engineering.\nAt least 4 years of hands-on experience with AWS.\nStrong experience with AWS data services, including S3, Glue, Athena, Redshift, or EMR.\nHands-on experience with Terraform and Infrastructure as Code.\nStrong understanding of AWS security, including IAM, KMS, VPC networking, Secrets Manager, and security best practices.\nExperience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline.\nProficiency in Python and SQL.\nExperience with data orchestration tools such as Apache Airflow, Amazon MWAA, or AWS Step Functions.\nFamiliarity with Docker and Kubernetes.\nExperience with logging, monitoring, auditing, and cloud security controls.\nPreferred Qualifications\nExperience with AWS EKS, ECS, Lambda, and Kinesis.\nFamiliarity with dbt and modern data platform architectures.\nExperience implementing automated security checks and compliance controls.\nKnowledge of relational and NoSQL database security.\nExperience troubleshooting complex cloud infrastructure and data pipeline issues.\nA strong interest in exploring new AWS capabilities and modern DevSecOps practices.\nWhat We Are Looking For\nA security-first mindset with a strong focus on data privacy and risk management.\nA proactive engineer who enjoys learning, experimenting, and solving unfamiliar problems.\nStrong analytical and troubleshooting skills.\nAn ownership-driven approach to infrastructure reliability and automation.\nThe ability to balance security, scalability, performance, and operational efficiency.","description_format":"text","description_chars":4299,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-28T15:11:43Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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