DevOps Engineer Remote Jobs in Connecticut (US)
This page tracks remote devops engineer openings that are location-eligible for Connecticut.
This page tracks remote devops engineer openings that are location-eligible for Connecticut.
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• Drive the technical roadmap for database reliability across various systems • Design and build automation first database platforms • Lead operational excellence by defining service level objectives, monitoring database health, and resolving production incidents • Optimize database performance and cost across environments • Partner closely with application engineering teams to establish safe database practices • Leverage AI to improve engineering productivity • Mentor engineers across the organization
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• Manage and develop a team focused on incident management, observability, operational readiness, and reliability engineering • Define a clear charter, priorities, roadmap, and measurable outcomes for the SRE function • Translate strategy into capacity aware plans with explicit trade offs, ownership, milestones, and success measures • Maintain visibility into delivery health, operational risks, and team performance, intervening early when execution drifts • Build a resilient operating model through cross-training, shared context, effective delegation, and clear primary and secondary ownership • Set a high bar for technical quality, operating rigor, and executive communication • Develop engineers and leaders who can independently own complex reliability initiatives • Evolve Upstart’s incident management program to improve detection, response, coordination, communication, and recovery • Establish clear standards for managing high severity incidents and provide visible leadership during critical events • Improve postmortem quality and ensure incident learnings result in durable engineering improvements • Identify recurring failure patterns and drive systemic solutions across teams • Create strong feedback loops from incidents into roadmaps, service standards, operational readiness requirements, and measurable risk reduction • Improve the quality, accessibility, and trustworthiness of signals used to understand production health • Drive consistent practices across metrics, logs, traces, alerting, and service health • Advance the use of service level objectives and customer impact signals to guide priorities and operational decisions • Reduce detection gaps, noisy alerts, manual investigation, and recurring operational toil • Define measurable reliability outcomes and use data to prioritize investments and communicate impact • Partner with platform and product engineering teams to embed reliability into standard engineering workflows • Establish scalable operational readiness standards for new services, major launches, and architectural changes • Set clear expectations for service ownership, monitoring, capacity, failure handling, and incident response • Identify systemic reliability risks and partner with engineering teams to prioritize and address them • Improve resilience through automation, failure testing, recovery capabilities, and operational safeguards • Build operating mechanisms that turn reviews and analysis into clear decisions, owners, timelines, and sustained follow through • Align stakeholders and dependencies before critical launches and engineering decisions
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• Teach core skills in site reliability engineering, system monitoring, incident response, performance optimization, and automation • Help students build capabilities through consistent, practical skill building • Support the career side of the journey including resume review, cover letters, LinkedIn review, behavioral interview prep, technical interview prep, salary negotiation, promotion strategy, and networking strategy
Role Description We are looking for a Jr DevOps Engineer to support the integration of Audigent into Experian Marketing Services, helping drive the evolution of our cloud infrastructure, security posture, and deployment processes. This role will play a key part in a large-scale AWS migration initiative, CI/CD maintenance, infrastructure standardization, and network modernization, while collaborating closely with Software Engineering, DevOps, DevOpsSec, and Global Security teams. - Support the execution of DevOps activities related to the integration of Audigent within Experian Marketing Services. - Monitor infrastructure vulnerabilities and implement security patches within established SLAs. - Maintain and continuously improve CI/CD pipelines across multiple microservices, ensuring reliable and efficient deployments. - Participate in large-scale AWS migration initiatives, including lift-and-shift activities across accounts and services. - Contribute to network layout and topology refactoring projects, helping align cloud infrastructure with global standards. - Assist in IAM management and cloud governance activities. - Support the definition and adoption of standardized DevOps tooling, processes, and best practices. - Collaborate with Software Engineers, DevOps Engineers, DevOpsSec teams, Global Security Office, Networking teams, and Experian Express Cloud (EEC) teams. - Help improve delivery efficiency through reusable and industry-standard infrastructure and deployment patterns. - Support cost control and cloud optimization initiatives. Qualifications - 1–2 years of experience in DevOps, Cloud Engineering, Infrastructure, or related areas. - Hands-on experience with Terraform, Terragrunt, and AWS. - Knowledge of Ansible, GCP, and infrastructure automation concepts. - Understanding of AWS Networking, including VPCs, Security Groups, Routing, and related networking concepts. - Experience working with CI/CD tools, especially GitHub Actions. - Understanding of networking layouts and infrastructure setup. - Knowledge of horizontal and vertical scaling principles. - Understanding of database configuration and optimization concepts. - Familiarity with tools such as Jira and Confluence. - Ability to work autonomously, navigate complex environments, and solve problems proactively. - Strong communication and collaboration skills, with the ability to work across multiple engineering and security teams. - Advanced English. Benefits - Diversity initiatives to support inclusive recruitment and professional development. - Affinity groups for underrepresented individuals: ExperianPride, Ubuntu, Women in Experian, Aspire, and Connecting Generations.
Cohere Health is a Software-as-a-Service (SaaS) company focused on improving the patient journey by enhancing the quality of care at lower costs, as well as emp
Opportunity Overview: This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We are seeking an operational-focused Site Reliability Engineer (SRE) to maximize the availability, performance, and resilience of our production healthcare systems. In this role, you will bridge the gap between AWS cloud infrastructure, MERN stack applications, and large-scale data workflows. You will spend roughly 60% of your time on live incident remediation, data pipeline operations, and Node.js/Python infrastructure tuning, and 40% on engineering automated solutions to eliminate operational toil. What you’ll do: - Production Operations: Maintain the continuous uptime, scalability, and security of our AWS-hosted MERN applications and backend data architectures. - Serverless Execution: Manage, optimize, and troubleshoot event-driven architectures running on AWS Lambda, focusing on cold-start mitigation, memory allocation, and execution timeouts. - Data Pipeline Execution: Monitor scheduled PySpark data workflows, execute standard operating procedures (SOPs) for large-scale data ingestion, and rapidly triage, rerun, or patch failed data processing jobs. - Incident Management: Participate in a collaborative on-call rotation to rapidly triage, debug, and mitigate live application outages and data flow bottlenecks. - Healthcare Compliance: Maintain strict HIPAA, SOC2, and HITRUST compliance profiles across all runtime environments, storage systems, and data pipelines handling Protected Health Information (PHI). - Toil Elimination: Engineer automated workflows to eliminate repetitive tasks like manual data seeding, infrastructure provisioning, and routine PySpark pipeline recovery steps. - Observability Engineering: Build specialized dashboards and alerts to monitor Node.js event loops, PySpark job execution stages, driver/worker memory leaks, and data pipeline throughput anomalies. - Post-Mortem Culture: Lead blameless post-mortems for operational and data processing failures, translating system crashes into permanent structural fixes. What you’ll need: - SaaS Platform Experience: Minimum of 3+ years of hands-on experience operating multi-tenant, cloud-hosted, or cloud-native SaaS platforms at scale. - AWS Cloud Engineering: Deep expertise operating AWS core services, specifically AWS Lambda, Amazon ECS/EKS, Amazon EMR or AWS Glue (for Spark), EC2, VPC networking, IAM permissions, and CloudWatch. - Automation & Data Languages: Professional competency in writing, debugging, and maintaining automation scripts and data tools using Python (including PySpark APIs) and Node.js. - Data Operations: Experience managing and troubleshooting distributed data orchestration pipelines, ETL tools, message queues (e.g., AWS SQS/SNS, RabbitMQ), or stream processing frameworks. - MERN Stack Operations: Deep understanding of the operational lifecycle of JavaScript/TypeScript applications, including memory management, asynchronous runtimes, and Node.js clustering. - Database Administration: Practical experience managing, sharding, indexing, and optimizing production-grade MySQL DB & Athena (RDS or self-hosted). - Infrastructure as Code: Proven ability to deploy and maintain immutable infrastructure utilizing Terraform or OpenTofu. - Healthcare Experience: Minimum 1 year working within HIPAA-regulated environments. Direct experience securing data-at-rest and data-in-transit containing sensitive patient records is preferred. - Education & Experience: Minimum of 4 years of software/systems experience, with at least 1-2 years focused on live cloud operations and distributed data workflow management is preferred. - Crisis Management: Calm under pressure with a methodical approach to identifying and isolating PySpark driver OOM (Out of Memory) errors or data corruption during high-stress outages. Attention to detail and effective communications skills will be critical in working with clients and internal stakeholders is preferred. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Flex Time Off + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this position is $100,000 to $110,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: - Connect with Talent Acquisition for a Preliminary Phone Screening - Meet your Hiring Manager! - Design Interview(s) - Cross Functional Interview *Subject to change About Cohere Health: Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately. Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement: Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal. #LI-Remote #BI-Remote
We make sense of data to drive your business forward. #MakeSenseofData #DriveYourBusinessForward #PartnerYourWay
Role Description The Forward Deployment Engineer (FDE) is the tip-of-the-spear technical role responsible for ensuring that EXLdata.ai is successfully deployed, adopted, and scaled within client environments. You will work side-by-side with client teams, product engineering, and our GenAI agent teams to: - Deploy EXLdata.ai into client cloud infrastructure (AWS/Azure/GCP) - Resolve infra, security, and data pipeline issues in real time - Customize accelerators and agent workflows for client-specific needs - Drive measurable value realization from Day 1 - Champion product enhancements back to the EXLdata.ai engineering team - Deliver white-glove support for clients using our managed platform offering This role is ideal for a senior data engineer who loves solving real-world problems, can operate in ambiguous conditions, learns fast, and thrives in high-impact client environments. Company Description EXLdata.ai is EXL’s flagship multi-agent orchestration platform that automates the end-to-end lifecycle of enterprise data pipelines – spanning data migration, data engineering, data quality, data governance, data ops, and unstructured data annotation. Having launched our MVP and now expanding across multiple Fortune-500 engagements, we are entering a rapid scale-up phase with two distinct delivery models: - Client-Deployed Model: Deploy EXLdata.ai within the client’s own cloud (AWS/Azure/GCP) and orchestrate their pipelines using our accelerator suite. - Managed Platform Model: EXL hosts EXLdata.ai in a dedicated private cloud and provides a white-glove, Data-Product-as-a-Service experience. To support this growth, we are hiring a Forward Deployment Engineer who will serve as the technical anchor at the intersection of cloud engineering, data engineering, GenAI, and client value realization.
Role Description Are you passionate about building reliable cloud infrastructure and automating deployments? Join our team and help maintain and optimize our AWS-based SaaS platform. - Experience: 3-5+ Years - Location: Remote - Employment Type: Contractual - Shift Timing: 5:00 AM to 2:00 PM - Notice Period: Immediate Joiner Qualifications - Manage AWS services (EC2, RDS, S3, IAM, VPC, Route53, CloudWatch) - Administer Linux servers and cloud infrastructure - Build and maintain CI/CD pipelines - Work with Terraform (Infrastructure as Code) - Manage Docker environments (Kubernetes is a plus) - Monitor system performance, security, backups, and disaster recovery - Support deployments and troubleshoot production issues Requirements - AWS Administration - Linux Administration - Terraform - Docker - CI/CD (GitHub Actions, Azure DevOps, etc.) - Bash/Python Scripting - Monitoring & Logging Tools - Strong troubleshooting and communication skills Benefits - Kubernetes (Nice to have) - Healthcare or SaaS experience (Nice to have) - AWS/Linux/InfoSec Certifications (Nice to have) - Knowledge of ISO 27001 or SOC 2 (Nice to have)
Better Data & Client Management For Whole Person Care
• Maintain and improve the company's Azure cloud infrastructure with a focus on reliability, availability, and performance. • Define, track, and report on SLIs, SLOs, and error budgets for production services. • Provide on-call, after-hours support on a rotating schedule, including incident response and escalation. • Lead and participate in blameless postmortems and retrospectives of production infrastructure incidents, driving corrective and preventive action items to closure. • Perform hosting tasks as needed including deployments and patching. • Automate infrastructure and configuration management using Infrastructure as Code (IaC). • Maintain and execute new tenant site provisioning. • Plan and execute database migrations to accommodate capacity plans. • Build and maintain observability tooling — metrics, logs, traces, dashboards, and alerting — using Datadog and Azure Monitor to enhance security, observability, and monitoring of workloads (compute, data storage, application integration elements). • Perform capacity planning and load/performance analysis to anticipate and prevent reliability issues before they impact customers. • Contribute to the organization's security audits and risk assessments. • Assist with vulnerability scans / penetration tests for internal and client systems. • Assist with identifying, documenting, and socializing application risks and vulnerabilities. • Use Azure services such as Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL Database / Azure SQL Managed Instance, Azure Cosmos DB, Azure Blob Storage, Azure API Management, and Azure DNS, to name a few. • As well as Azure DevOps Pipelines / GitHub Actions, Azure Resource Manager (ARM) templates / Bicep, Checkmarx, Tenable, Datadog, Azure Monitor, and Atlassian products. • Ability to travel nationwide, up to 10% annually. • Perform other duties as assigned.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Role Description We are seeking an accomplished Senior DevOps Engineer to architect, build, automate, and maintain enterprise-grade cloud infrastructure, CI/CD platforms, and deployment pipelines that support mission-critical applications operating at significant scale across multiple business domains. In this role, you will be responsible for the complete infrastructure lifecycle, from translating business and application requirements into secure, scalable cloud architectures to implementing infrastructure as code, automating deployments, monitoring production environments, and ensuring operational excellence throughout the application lifecycle. - Design, build, and continuously refine scalable cloud infrastructure using AWS, Azure, or Google Cloud Platform. - Author secure, reusable, and well-documented Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or Azure Resource Manager templates. - Develop, implement, and maintain enterprise CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent platforms. - Design and manage containerized application platforms using Docker and Kubernetes. - Actively participate in infrastructure architecture discussions, cloud migration initiatives, disaster recovery planning, and technology evaluations. - Continuously monitor, analyze, and optimize infrastructure performance and operational costs. - Implement and maintain centralized monitoring, logging, observability, and incident management solutions. - Develop comprehensive automation for infrastructure provisioning, configuration management, and operational tasks. - Contribute meaningfully to DevSecOps initiatives by integrating automated security scanning and compliance validation. - Proactively identify infrastructure bottlenecks, operational risks, and automation opportunities. - Collaborate effectively within Agile/Scrum delivery teams. - Maintain comprehensive infrastructure documentation. Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related technical discipline. - Five or more years of professional experience implementing and supporting enterprise DevOps practices, cloud infrastructure, automation, and CI/CD solutions in production environments. - Strong, demonstrable understanding of cloud computing principles, infrastructure architecture, networking, operating systems, virtualization, automation, high availability, disaster recovery, and system security best practices. - Advanced working knowledge of AWS, Azure, or Google Cloud Platform. - Hands-on production experience designing and managing CI/CD pipelines. - Proven experience implementing Infrastructure as Code using Terraform, AWS CloudFormation, Azure Resource Manager, or equivalent automation frameworks. - Strong knowledge of Linux system administration, Docker, Kubernetes, container orchestration, and scripting languages. - Solid experience with Git-based version control and Agile software development methodologies. - Hands-on experience implementing monitoring, logging, observability, security, and cloud governance solutions. - Strong troubleshooting, root-cause analysis, communication, documentation, and problem-solving skills. Requirements - Experience designing and supporting event-driven architectures, serverless computing, and cloud-native application platforms. - Familiarity with DevSecOps practices and compliance frameworks. - Exposure to distributed systems, site reliability engineering (SRE), and performance engineering methodologies. - Experience implementing automated testing, release automation, and continuous improvement initiatives. Benefits - 100% Remote work opportunity. - Full-time, Direct W2 position. - Salary Range: $100,000–$150,000 Annually. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination.
• Design, implement, and maintain enterprise-wide observability solutions using Dynatrace across web, mobile, APIs, and cloud-native applications • Configure Real User Monitoring (RUM), Application Performance Monitoring (APM), infrastructure monitoring, synthetic monitoring, and distributed tracing • Develop executive and operational dashboards that provide real-time visibility into application health, user experience, service performance, and platform availability • Implement AI-driven monitoring using Dynatrace Davis AI to establish intelligent baselines, reduce alert noise, and proactively identify performance issues • Build monitoring solutions for cloud-native microservices and distributed systems running in Google Cloud Platform (GCP) • Integrate Dynatrace with PagerDuty and other incident management platforms to automate alerting and streamline operational response • Collaborate with software engineers and platform teams to establish observability standards throughout the software development lifecycle • Monitor critical business transactions and user journeys to ensure optimal application performance and availability • Analyze application performance trends, identify bottlenecks, and recommend improvements to increase system reliability • Support production incident investigations through performance analysis, root cause identification, and post-incident reviews • Define monitoring standards, documentation, and best practices for enterprise observability • Partner with DevOps, SRE, and Infrastructure teams to continuously improve operational excellence and platform resilience
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Cloud, Kubernetes, Python, SQL, Distributed Systems, Google Cloud Platform