The Role

The AWS Connect Engineer will design, build, and support Amazon Connect contact center environments on AWS. Key duties include standing up Connect instances, building contact flows and IVR, integrating telephony and case data, and applying AI/ML services — Amazon Lex, Amazon Bedrock, Transcribe, and Contact Lens — to deflect routine calls, assist agents in real time, and turn call data into something supervisors can act on. You will work alongside the cloud migration and platform teams to move legacy contact center workloads onto Amazon Connect without dropping calls or service quality.

Key Responsibilities

Contact Center Design & Build-out

• Stand up and configure Amazon Connect instances, routing profiles, queues, hours of operation, and quick connects
• Build and version contact flows, IVR menus, prompts, and whisper/hold experiences
• Define agent hierarchies, security profiles, and least-privilege permission sets
• Configure IAM roles, KMS keys, and S3 buckets for recordings, transcripts, and exported data
• Migrate existing contact flows, prompts, and routing logic from legacy platforms

Telephony & Integration

• Claim and port DIDs and toll-free numbers; coordinate carrier and porting timelines
• Configure SIP trunking and Direct Connect / VPN paths for hybrid telephony
• Integrate Amazon Connect with CRM, ticketing, and case management systems using the Streams API and CTI adapters
• Build Lambda functions for screen pop, data dips, and customer lookups
• Validate call quality, latency, and failover behavior before each cutover

AI/ML & Self-Service

• Design Amazon Lex bots for intent capture, authentication, and call deflection
• Build generative AI self-service and agent-assist experiences with Amazon Bedrock and Amazon Q in Connect
• Implement retrieval-augmented generation (RAG) over knowledge bases for real-time agent recommendations
• Implement Contact Lens for call and chat analytics, sentiment, and rule-based alerting
• Apply Amazon Transcribe, Comprehend, and Polly for transcription, PII redaction, entity extraction, and speech synthesis
• Tune intents, prompts, and guardrails against real call transcripts to raise containment and reduce misroutes
• Automate provisioning of Connect and AI resources with CloudFormation or Terraform
• Configure Amazon Connect Tasks, chat, and callback experiences
• Tune routing and estimated wait time logic based on real call volume

Reporting, Support & Governance

• Build real-time and historical dashboards for supervisors using Connect metrics, Kinesis streams, and Amazon QuickSight
• Measure bot containment, deflection, and summarization quality; report on model performance over time
• Support go-live events, monitor call flow health, and resolve production issues
• Document contact flow logic, integration points, and runbooks for the operations team
• Participate in readiness reviews and Go/No-Go gates for each cutover
• Maintain tagging standards: Org:HSTF, Env:[prod/dev/uat], Application:[name], Use:[function]

Skills

• Amazon Connect – instance setup, contact flows, routing profiles, queues, agent experience
• Amazon Lex – intent design, slot types, fulfillment, bot versioning and aliases
• AI/ML on AWS – Amazon Bedrock, Amazon Q in Connect, Transcribe, Comprehend, Polly
• Conversational AI – prompt design, retrieval-augmented generation (RAG), guardrails, intent tuning, containment metrics
• AWS Lambda – Node.js or Python functions for data dips, integrations, and flow logic
• Contact center telephony – SIP, DID and toll-free porting, call quality troubleshooting
• Integration – Amazon Connect Streams API, CTI adapters, REST integrations with CRM and case systems
• Analytics – Contact Lens, Kinesis Data Streams/Firehose, Amazon QuickSight dashboards
• Infrastructure as code – CloudFormation or Terraform for repeatable Connect deployments
• Networking – VPC design, security groups, Route 53, Direct Connect
• AWS security & governance – KMS encryption, PrivateLink, CloudTrail logging, least-privilege IAM

Nice to Have

• Migration experience from Avaya, Cisco UCCE/UCCX, or Genesys to Amazon Connect
• Experience evaluating and tuning LLM output quality for customer-facing use (guardrails, hallucination testing)
• AWS Certified Advanced Networking or Amazon Connect specialty experience
• Experience with Section 508 accessibility requirements for agent and customer interfaces

About SYOS

At SYOS we believe that there is no “one size fits all” when it comes to building a quality solution. We bring industry experts across multiple verticals to each engagement, and set an expectation of quality service and support throughout the entire project lifecycle. SYOS provides decades of industry knowledge in developing, implementing, and securing IT environments for both U.S. government and commercial organizations.

SYOS is an equal opportunity employer.

The Role

The AWS DevOps Engineer will build and maintain the automation behind production workloads on AWS, including the generative AI platform built on Amazon Bedrock. Key duties include writing infrastructure as code, building and hardening CI/CD pipelines, running container and compute platforms, deploying and monitoring Bedrock models and retrieval pipelines, and automating the guardrails that keep accounts consistent. You will work with the migration and application teams to turn one-off builds into repeatable, reviewable deployments.

Key Responsibilities: 

Infrastructure as Code

• Write and maintain Terraform and CloudFormation modules for VPCs, compute, storage, and data services
• Build reusable, versioned modules with input validation and sensible defaults
• Manage state, workspaces, and drift detection across dev, UAT, and production accounts
• Configure IAM roles, policies, permission boundaries, and service control policies
• Codify account baselines: logging, encryption, backup, and network guardrails

CI/CD Pipelines

• Build deployment pipelines with AWS CodePipeline, CodeBuild, GitLab CI, or GitHub Actions
• Automate build, test, static analysis, and artifact promotion across environments
• Implement approval gates, rollback paths, and blue/green or canary deployment strategies
• Manage secrets with AWS Secrets Manager and Parameter Store — no credentials in code
• Scan images and dependencies for vulnerabilities as part of the pipeline

Compute, Containers & Reliability

• Deploy and operate workloads on ECS, EKS, and EC2 Auto Scaling groups
• Build and maintain hardened AMIs and container base images to a CIS benchmark
• Instrument monitoring, logging, and alerting with CloudWatch, EventBridge, and centralized log aggregation
• Define SLOs, alert thresholds, and on-call runbooks for the platform
• Automate patching, backup, and recovery testing

Generative AI Platform (Amazon Bedrock)

• Provision Amazon Bedrock model access, guardrails, and invocation logging through infrastructure as code
• Deploy and version Bedrock knowledge bases, agents, and prompt templates through the pipeline
• Build retrieval pipelines — embedding jobs, vector stores, and data sync from source systems
• Monitor token usage, latency, and cost per model; set budgets, alarms, and throttling limits
• Enforce least-privilege IAM, VPC endpoints, and KMS encryption for model and training data access

Security & Documentation

• Automate compliance checks with AWS Config, Security Hub, GuardDuty, and Systems Manager
• Remediate findings and track drift from the account baseline
• Contribute to Well-Architected Reviews and architecture decision records
• Document pipelines, module interfaces, and operational runbooks
• Maintain tagging standards: Org:HSTF, Env:[prod/dev/uat], Application:[name], Use:[function]

Skills

• Terraform – modules, state management, workspaces, provider versioning
• AWS CloudFormation – nested stacks, StackSets, change sets
• CI/CD – AWS CodePipeline/CodeBuild, GitLab CI, GitHub Actions, or Jenkins
• Amazon Bedrock – model access, guardrails, knowledge bases, agents, invocation logging
• Generative AI operations – prompt and model versioning, evaluation, token cost and latency monitoring
• Containers – Docker, Amazon ECS, Amazon EKS, ECR image lifecycle
• Scripting – Python, Bash, and PowerShell for automation and tooling
• Configuration management – AWS Systems Manager, Ansible, or equivalent
• Observability – CloudWatch metrics, logs and alarms, EventBridge, centralized logging
• Linux (RHEL 9 / CentOS) and Windows Server administration
• Networking – VPC design, security groups, NACLs, Route 53, PrivateLink, Direct Connect
• AWS security & governance – KMS encryption, PrivateLink, CloudTrail logging, least-privilege IAM

Nice to Have

• AWS Certified DevOps Engineer – Professional or Solutions Architect – Professional
• Experience running retrieval-augmented generation (RAG) pipelines in production — vector stores, embeddings, retrieval evaluation
• Experience automating OS hardening and vulnerability scanning (CIS benchmarks)
• Kubernetes operations experience at scale (EKS upgrades, add-ons, autoscaling)

About SYOS

At SYOS we believe that there is no “one size fits all” when it comes to building a quality solution. We bring industry experts across multiple verticals to each engagement, and set an expectation of quality service and support throughout the entire project lifecycle. SYOS provides decades of industry knowledge in developing, implementing, and securing IT environments for both U.S. government and commercial organizations.

SYOS is an equal opportunity employer.

 The Role

The AWS Site Reliability Engineer is a full-time remote role responsible for ensuring the reliability, performance, and scalability of cloud-based systems running on AWS. Day-to-day work includes designing and maintaining infrastructure as code, monitoring system health, automating deployment and operations, and responding to incidents to restore service quickly. You will collaborate with software development teams to improve application resiliency, optimize resource usage and cost, and strengthen observability through logging, metrics, and alerting. The role includes on-call rotation, root cause analysis, and continuous improvement of operational practices and security controls.

 Key Responsibilities

Infrastructure as Code

▪ Design and maintain AWS infrastructure with Terraform or CloudFormation

▪ Keep environments consistent, versioned, and reviewable through code

Observability & Monitoring

▪ Monitor system health and define alerting on service-level indicators

▪ Enhance logging, metrics, and dashboards with CloudWatch and centralized tooling

▪ Optimize performance and resource usage across the platform

Automation & Deployment

▪ Implement automation for deployment and operations through CI/CD pipelines

▪ Reduce manual toil with scripting and automation frameworks

Resiliency, Cost & Security

▪ Partner with development teams to improve application resiliency and recovery

▪ Optimize resource usage and AWS cost

▪ Apply and improve security controls in the cloud environment

 Skills

▪ Site Reliability Engineering – reliability design, incident response, observability, performance optimization

▪ Troubleshooting – diagnosing complex production issues, root cause analysis, corrective and preventive action

▪ Software development – scripting or programming (Python, Go, or similar); CI/CD pipelines and automation frameworks

▪ System administration – Linux-based environments, user and permission management, basic networking

▪ AWS infrastructure – hands-on with EC2, RDS, Lambda, VPC, CloudWatch, and Elastic Disaster Recovery; Terraform or CloudFormation

▪ Containers – Docker with Kubernetes or ECS; configuration management tools; cloud security best practices

▪ Communication – effective in a distributed remote team and with cross-functional stakeholders

▪ Education – Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience in site reliability or cloud operations

 Nice to Have

▪ AWS Certified SysOps Administrator, DevOps Engineer – Professional, or Solutions Architect

▪ Experience defining and reporting SLOs and error budgets

▪ Experience testing disaster recovery plans with AWS Elastic Disaster Recovery or equivalent

 About SyoS

SyoS LLC is focused on delivering tailored technology solutions rather than “one size fits all” implementations. We bring industry experts from multiple verticals to each engagement, ensuring that solutions align with clients’ specific business and technical needs. SyoS emphasizes high-quality service, proactive support, and close collaboration throughout the entire project lifecycle. Team members are encouraged to apply their expertise, share knowledge, and continuously improve the solutions provided to clients.

SYOS is an equal opportunity employer.

The Role

The Cloud Migration Engineer will be responsible for migrating on-premises servers to AWS. Key duties include building the migration platform, configuring replication agents, executing wave-based cutovers (test and prod), validating EC2 targets, and decommissioning source infrastructure.

Key Responsibilities

Migration Assessment & Platform Build-out

• Conduct application dependency mapping and migration readiness assessment
• Configure IAM roles, policies, and permission boundaries for compute and administrative resources
• Define the migration wave plan and resource placement strategy
• Deploy and configure AWS Application Migration Service (MGN) replication infrastructure
• Install and configure MGN replication agents on source servers
• Migrate and deploy EC2 instances for hard-to-containerize applications

Data Migration (AWS Application Migration Service – MGN)

• Install and configure MGN replication agents on source Windows and Linux servers
• Configure replication settings (dedicated replication servers, staging subnets, encryption)
• Execute test cutovers and validate server functionality in the target VPC
• Perform post-migration validation, application testing, and DNS cutover per wave
• Decommission source infrastructure after the parallel operation period

Disaster Recovery Implementation (AWS DRS)

• Install and configure DRS replication agents on source servers
• Establish pilot-light DR configuration with continuous block-level replication to AWS
• Configure launch templates, recovery instances, and failover networking
• Develop and validate DR runbooks with RTO/RPO targets
• Execute DR failover/failback testing and validation

Documentation & Governance

▪ Participate in per-wave readiness reviews and Go/No-Go gates

▪ Document migration decisions, issues, and workarounds

▪ Contribute to Well-Architected Reviews per wave

▪ Maintain tagging standards: Org:HSTF, Env:[prod/dev/uat], Application:[name], Use:[function]

Skills

• AWS Application Migration Service (MGN) – agent deployment, replication configuration, test/production cutovers
• AWS Elastic Disaster Recovery (DRS) – pilot-light replication, launch templates, failover/failback testing
• Amazon EC2 – instance right-sizing, launch templates, AMIs, target VPC placement
• Migration wave planning – dependency mapping, readiness assessment, cutover sequencing
• Windows Server 2016/2019/2022 – AD, Group Policy, DNS, DHCP, file shares, RDS
• Linux (RHEL 9 / CentOS) – services, networking, storage, log management
• Networking – VPC design, security groups, NACLs, Route 53 Resolver, Direct Connect
• AWS security & governance – KMS encryption, PrivateLink, CloudTrail logging, least-privilege IAM

Nice to Have

• Experience migrating .NET applications (e.g., Fusion Roster)
• Oracle and SQL Server host migration experience

About SYOS

At SYOS we believe that there is no “one size fits all” when it comes to building a quality solution. We bring industry experts across multiple verticals to each engagement, and set an expectation of quality service and support throughout the entire project lifecycle. SYOS provides decades of industry knowledge in developing, implementing, and securing IT environments for both U.S. government and commercial organizations.

SYOS is an equal opportunity employer.

 The Role

The GIS Application Developer will design and build geospatial applications that turn infrastructure, dependency, and threat data into decisions for federal critical-infrastructure clients. Key duties include developing web-based GIS applications, building spatial data pipelines from authoritative federal datasets, implementing dependency and cascading-consequence analysis over infrastructure networks, and delivering those capabilities inside authorized AWS boundaries with controlled-data handling from day one. You will own features end to end and present your work directly to client analysts.

 Key Responsibilities

GIS Application Development

▪ Build and maintain web-based GIS applications on Esri ArcGIS Enterprise/Online and the ArcGIS Maps SDK for JavaScript, or open-source stacks (PostGIS, GeoServer, MapLibre, Leaflet)

▪ Design map-centric user experiences for analysts: layer control, scenario input, time-stepped visualization, and export

▪ Develop REST and OGC services (feature services, WMS, WFS) that expose spatial analysis results to dashboards, reporting, and partner systems

▪ Write clean, tested, documented code and participate in design reviews

Spatial Data & Pipelines

▪ Design spatial data models and ETL pipelines that ingest authoritative federal datasets (EIA, EPA, FCC, FEMA, USGS, Census) with provenance tagging and refresh cadence

▪ Manage coordinate systems, projections, topology, and data quality across sources

▪ Integrate controlled owner/operator data (CUI, PCII) under the applicable handling rules

Dependency & Consequence Analysis

▪ Model infrastructure dependencies as spatial network graphs and implement upstream/downstream tracing and service-area derivation

▪ Implement time-stepped outage propagation, backup-duration logic, and mitigation comparison

▪ Integrate threat and hazard feeds (CISA advisories, hazard polygons, forecast tracks) as scenario inputs to geospatial models

▪ Tag assets and impacts to National Critical Functions for prioritization and reporting

Cloud Delivery & Security

▪ Deploy and operate the application in AWS (GovCloud where required) using infrastructure as code

▪ Support the security authorization package (RMF / NIST SP 800-53) for the systems you build

▪ Enforce least-privilege IAM, encryption, and logging for spatial services and data stores

Client Engagement

▪ Work directly with client analysts and owner/operator stakeholders to validate model behavior

▪ Turn findings into product improvements and document operational runbooks

 Skills

▪ GIS development – 2+ years building geospatial applications; 4+ years developing production software

▪ Esri ArcGIS – Enterprise, Online, Pro, or the JavaScript SDK; or an equivalent open-source GIS stack

▪ Spatial databases – PostGIS, SQL Server spatial, or ArcGIS geodatabases; spatial SQL

▪ Languages – Python (GeoPandas, Shapely, NetworkX), TypeScript/JavaScript, and one of C# or Java

▪ Services – REST/OGC (WMS, WFS, feature services), API design, automated data pipelines

▪ Geospatial fundamentals – coordinate systems, projections, topology, geocoding, service-area analysis

▪ Version control and CI – Git, automated testing, code review

▪ Communication – clear written and verbal communication with technical and non-technical stakeholders

▪ Education – Bachelor’s degree in Computer Science, Geography/GIS, Engineering, or related field, or equivalent experience

▪ U.S. citizenship and the ability to obtain and maintain a clearance as needed.

 Nice to Have

▪ AWS application development – proficiency building and operating applications on AWS: Lambda, ECS/EKS, EC2, S3, RDS/PostgreSQL, DynamoDB, API Gateway, IAM, and infrastructure as code (CloudFormation, CDK, or Terraform); AWS GovCloud (US) and FedRAMP or DoD Cloud Computing SRG boundary experience

▪ Cybersecurity and threat modeling in the GIS context – STRIDE or attack-tree analysis of map services and spatial APIs; protecting location-sensitive and controlled data (CUI, PCII, FOUO); modeling threats to critical infrastructure with MITRE ATT&CK for ICS and CISA dependency-analysis methods; translating cyber or physical threat scenarios into spatial impact models

▪ NIST SP 800-53, RMF, and other Cybersecurity frameworks experience as applied to systems you build

▪ Graph databases or network-analysis tooling – Neo4j, NetworkX, ArcGIS Network Analyst or Utility Network

▪ Prior delivery to DHS/CISA, DoD, or critical-infrastructure clients

▪ GISP, Esri Certified Developer, AWS Certified Developer or Solutions Architect, Security+ or CISSP

 About SyoS

At SyoS we believe that there is no “one size fits all” when it comes to building a quality solution. We bring industry experts across multiple verticals to each engagement, and set an expectation of quality service and support throughout the entire project lifecycle. SyoS provides decades of industry knowledge in developing, implementing, and securing IT environments for both U.S. government and commercial organizations.

SYOS is an equal opportunity employer.

Company Description SyoS LLC is a solutions-focused technology company that rejects a “one size fits all” approach, emphasizing tailored, high-quality services for each client engagement. The organization brings together industry experts from multiple verticals to design, implement, and support customized solutions. SyoS LLC sets clear expectations for responsive service and strong collaboration throughout the entire project lifecycle. Team members work closely with clients to deliver secure, reliable systems that align with business needs and long-term objectives.

Role Description The Information System Security Engineer is a full-time, hybrid role based in the Fort Meade. MD Area. This role is responsible for designing, implementing, and maintaining secure information systems and networks, ensuring alignment with organizational and regulatory requirements. Day-to-day tasks include conducting security assessments, identifying and mitigating vulnerabilities, implementing security controls, monitoring system and network activity, and supporting incident response activities. The engineer will collaborate with cross-functional technical and business teams, develop and maintain security documentation, and provide guidance on security best practices throughout the system lifecycle. The role also involves staying current with emerging threats, technologies, and standards to continuously improve the organization’s security posture.

Qualifications

• Candidates should possess strong skills in Cybersecurity and Information Security to design, implement, and manage secure systems and policies.
• Candidates should possess skills in Network Security to protect network infrastructure, enforce secure configurations, and monitor for suspicious activity.
• Candidates should possess skills in Information Assurance to ensure confidentiality, integrity, availability, and compliance with relevant standards and frameworks.
• Candidates should possess skills in Vulnerability Assessment to identify, analyze, prioritize, and support remediation of security weaknesses.
• Relevant experience with security frameworks and standards (e.g., NIST, ISO 27001, RMF), and security tools such as SIEM, IDS/IPS, and endpoint protection.
• Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent practical experience.
• Professional certifications such as CISSP, Security+, CEH, or similar are beneficial.
• Strong analytical and problem-solving abilities, clear written and verbal communication skills, and the ability to work collaboratively in a multidisciplinary environment.