110 jobs found

Job Description Job Description Job Description Jumpmind is looking for a Sr Software Engineer , who is passionate about solving difficult problems with creative software solutions, to join an exciting, growing information technology company. Jumpmind Commerce is at the forefront of the digital revolution in retail stores. Our microservices commerce platform is built to solve the real-world problems retailers face in providing frictionless customer journeys. We are focused on innovation for the store and ecommerce experiences. Our clients are all well-known large retail brands. Requirements Roles and Responsibilities Work as part of a team to collaborate on innovative solutions, participate in code reviews, and deliver enhancements to core products. Analyze software requirements and translate them into technical implementation of new product functionality. Perform root cause analysis and develop solutions to software defects. Collaborate with cross functional teams and internal stakeholders to ensure accuracy and quality delivery of released software. Present technical topics to teammates and demonstrate functionality to business users. Lead small teams to accomplish development initiatives Provide mentorship for other team members Essential Experience, Skills, and Qualifications 5+ years software development experience using modern software languages with exposure to all phases of the software development lifecycle Bachelor's degree in Computer Science or related field Relevant experience in Java, Spring, Angular and SQL Databases Strong problem-solving and communication skills Self-starter with the ability to learn quickly and work independently or as part of a team Solid understanding of and experience with Agile, CI/CD, and DevOps concepts Experience working with customers/end-users Preferred Experience Development experience in retail Relevant experience: Infrastructure automation technologies such as Kubernetes, Helm and Terraform. Developing software using cloud services such as AWS, GCP and Azure. Monitoring tools such as OpenTelemetry and Grafana Build automations such as Gradle, Maven and Github Actions Building APIs using REST

Job Description Job Title: Senior Java Backend Developer - Intex Experience: 6-10+ Years Domain: Banking / Financial Services Employment Type: Contract Location: Remote Role Overview We are seeking a highly skilled Java Backend Developer with strong hands-on experience in Java, Spring Boot, Microservices, and Intex-related banking applications. The ideal candidate will have extensive experience developing enterprise-level backend systems within the banking and financial services domain, including application integration, financial transactions, and secure, scalable API development. Key Responsibilities • Design and develop scalable Java backend applications. • Build microservices using Java and Spring Boot. • Develop and integrate RESTful APIs. • Work on Intex platform integrations and backend services. • Develop solutions supporting banking and financial operations. • Integrate backend systems with core banking applications. • Implement secure transaction processing and data handling. • Optimize application performance and database queries. • Troubleshoot production issues and provide technical support. • Collaborate with business analysts, architects, and banking teams. • Perform unit testing, integration testing, and code reviews. • Support application deployments and CI/CD processes. • Ensure compliance with banking security and development standards. Mandatory Technical Skills • Java: Strong hands-on experience with Java 8/11/17+. • Spring Boot: Extensive experience with Spring Framework and Spring Boot. • Microservices: Strong development experience in microservices architecture. • REST APIs: API development, integration, and troubleshooting. • Intex: Practical experience with Intex systems, applications, or integrations in financial services. • Banking Domain: Experience developing applications for banking or financial institutions. • SQL: Strong experience with Oracle, PostgreSQL, or similar databases. • Hibernate/JPA: Database persistence and ORM frameworks. • Git: Source code management. • Testing: JUnit, Mockito, and integration testing. Preferred / Nice-to-Have Skills • AWS, Azure, or other cloud platforms. • Docker and Kubernetes. • Kafka, RabbitMQ, or messaging systems. • CI/CD pipelines using Jenkins or GitLab. • OAuth2, JWT, and Spring Security. • Core banking systems and financial data integration. • Knowledge of financial products, loans, or securities. • Experience with Agile/Scrum methodology. Required Qualifications • Bachelor's degree in Computer Science, IT, Engineering, or related field. • Minimum 6 years of Java backend development experience. • Strong hands-on experience with Spring Boot, Microservices, and REST APIs. • Proven experience working in banking or financial services projects. • Practical experience with the Intex platform or its integrations. • Strong analytical, debugging, and problem-solving skills.

Job Description Position Summary: We are seeking a seasoned Senior Java Developer with a deep specialization in high-throughput trading platforms. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls. Core Responsibilities: Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments. Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code. Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds. Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh. Domain Requirements: Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement). Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems. Market Dynamics: Understanding of market data structures (L1/L2/L3 books) and regulatory requirements (MiFID II, SEC Rule 606). Technical Qualifications: Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model. Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). Familiarity with Service Mesh (Istio/Linkerd) is a plus. Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron. Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing. Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI).

Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.

Job Description Network Engineer (2 openings) Location: New York, NY, onsite at the client's office. At least 3 days a week in the office, FTE Experience: 7-10+ years in hands-on network engineering. Network Engineer- 2 roles- JD is changed; PFB updated JD with expectation. Location- NYC, NY Full-time only, F2F at NYC office. Look for locals What matters most: Linux and Kubernetes depth comes before networking credentials. He wants people who can walk into the lab on day one, test and certify hands-on, and communicate clearly. A CCIE number matters less than proven hands-on work. Must-haves: Linux networking and administration, Kubernetes and container networking (CNI), and kubectl eBPF, especially Cilium for policy enforcement, observability and BGP integration Python and Ansible (Robot Framework is a plus), Git/GitHub and Infrastructure-as-Code OSPF, BGP, IGMP and PIM Cisco Catalyst and Nexus, IOS/XE/NX-OS (limited XR), and Arista 7280, 7504 and 7060 Lab testing and certification: CVE analysis, rapid patch and code certification, and bug scrubs tcpdump and Wireshark, plus IXIA or Spirent performance testing 8+ years of LAN/WAN across campus, branch, WAN/MAN, data center and low-latency networks. CCNP expected; CCIE not required. Nice to have: interop with F5, A10, Fortinet and SRX (MAB/802.1x), and cybersecurity and network risk assessment. Key Responsibilities: Network Routing and Switching Engineer is responsible for testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes - with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. The position is in NY, requires on site presence 3 - 4 days weekly. Experience: Senior level, experienced, can lead projects and work independently. 8+ years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Skills Required: Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. Other Requirements: Manage vendors, coordinate testing and evaluate PoC. Possess ability to quickly and effectively interpret data. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Ability to work independently and within a global testing team environment. Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. Ability to prioritize effectively with good time management skills. Excellent interpersonal skills, strong logical and analytical skills Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must Ability to move quickly and multitask in a fast-paced environment. Stakeholder management and providing reports and overviews to both technical and non-technical senior management.

Job Description Looking for an experienced Platform Engineer to provide production support for enterprise POS applications and platforms. Key Skills: Microservices, REST APIs & Distributed Systems Docker & Kubernetes CI/CD - GitHub Actions Monitoring - Datadog Python / PowerShell scripting Production Support, RCA & Incident Management APM, Log Analysis & Cloud Optimization

Job Description Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement? Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for a Senior Cloud Engineer in North Charleston, SC. This is an onsite position requiring a relocation if you are outside of the Charleston market. The ideal candidate for this position will have proven experience in a technology-driven program or project supporting the US Navy. If you have systems engineering skills, a strong work ethic and commitment to quality, we would like to talk to you about joining our growing team. You Will: Design, deploy, secure, and sustain Microsoft Azure architectures, with preference for Azure Government over commercial cloud and Azure over AWS. Apply experience in DoD Impact Level environments; IL5 experience is strongly desired, and IL6 experience is ideal. Design hybrid-cloud solutions that run complementary services on premises and in Azure, including integration and management through Azure Arc. Engineer external connectivity and direct-connect solutions, including Azure ExpressRoute, VPN Gateway, routing, and connectivity to on-premises networks. Design and manage internal networking, including virtual networks, subnets, network security groups, VLANs, routing, and network segmentation. Implement cloud security using Microsoft Defender, Azure Firewall, VPN Gateway, secure baselines, least-privilege access, and Zero Trust principles. Design and administer Azure identity, role-based access control, privileged access, and service identities, including integration with program-provided NIS tools. Architect and support Azure Virtual Desktop, Windows and Linux virtual machines, and containerized workloads. Evaluate technical, cybersecurity, mission, and cost constraints and develop resilient Azure solution architectures and implementation plans. Develop repeatable infrastructure provisioning and configuration using Azure Automation integrated with Terraform; PowerShell, Bash, Python, and CI/CD experience is valuable. Troubleshoot complex cloud, network, identity, security, compute, and hybrid-integration issues across lab and production environments. Produce architecture diagrams, implementation plans, test artifacts, operating procedures, and RMF/ATO compliance evidence; participate in technical reviews and change management. You Have: US Citizenship Possession of a Department of Defense (DoD) Secret Level Security Clearance with a current SSBI/T5 investigation, TS/SCI desired DoD Certifications to be qualified as an Information Assurance Technician (IAT) Level II (e.g. CompTIA Security+ certification) 10+ years of experience with C4I systems with specific focus on systems engineering and cybersecurity support Bachelor's Degree in Engineering, Computer Science, or related field Operating System Certificate (e.g., Linux+, Windows Server, CCNA, etc) Experience supporting Navy C4I or comparable DoD mission environments. Azure Government and classified-cloud engineering experience at IL6. Advanced Azure architecture experience with Azure Virtual Desktop, Azure Arc, ExpressRoute, Azure Firewall, Microsoft Defender, VPN Gateway, virtual machines, containers, and role-based access control. Hybrid-cloud architecture spanning on-premises infrastructure and Azure services. Terraform integrated with Azure Automation, Git-based version control, and CI/CD pipelines. Experience with Azure Kubernetes Service or other Kubernetes/container platforms. Familiarity with DISA STIGs, ACAS/SCAP remediation, RMF controls, POA&Ms, and continuous monitoring. Strong communication, technical documentation, collaboration, and leadership skills in a multi-disciplinary Agile environment. Want to hear more? Read on to see what our Team Members say about their experience: "To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. I've had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission." - Jess "With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education." - Wendy Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected. Accessibility & Accommodations Atlas Tech strives to make our website accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at . This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA). Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.

Job Description Position Overview: We are seeking an experienced Senior Cloud Automation Engineer to support a large-scale enterprise cloud transformation initiative. The organization currently operates a significant on-premises VMware infrastructure and is looking to migrate substantial workloads to the cloud while developing new cloud-native capabilities. The ideal candidate will have strong experience in infrastructure automation, Infrastructure as Code (IaC), GitOps methodologies, and cloud engineering. This individual will play a key role in automating infrastructure provisioning, supporting virtual machine migrations, and enabling the organization's broader cloud adoption strategy across internal business systems, back-office applications, and customer-facing solutions. Key Responsibilities: Design, develop, and maintain infrastructure automation solutions using Terraform, Ansible, and GitOps practices . Support the migration of existing on-premises VMware virtual machines and enterprise workloads into cloud environments. Develop Infrastructure as Code (IaC) solutions to automate cloud infrastructure provisioning, configuration, and lifecycle management. Establish and maintain GitOps workflows and CI/CD pipelines to support consistent, repeatable infrastructure deployments. Collaborate with infrastructure, networking, security, and application teams to assess workload readiness and execute cloud migration strategies. Support the deployment of new cloud-native applications and infrastructure for internal operations, back-office systems, and customer-facing services. Automate configuration management, deployment, monitoring, and operational tasks across hybrid cloud environments. Implement infrastructure standards and automation best practices to improve scalability, reliability, security, and operational efficiency. Assist with cloud environment optimization, including resource management, performance monitoring, and cost efficiency. Identify opportunities to leverage AI-enabled tools and emerging technologies to improve infrastructure automation and operational efficiency. Develop technical documentation, reusable automation modules, and standardized deployment processes. Required Qualifications: 5+ years of experience in infrastructure engineering, cloud engineering, DevOps, or infrastructure automation. Strong hands-on experience with Terraform for Infrastructure as Code. Strong experience with Ansible for configuration management and automated deployment. Experience implementing GitOps workflows using Git-based repositories and CI/CD tooling. Experience managing and supporting on-premises VMware vSphere / ESXi environments. Demonstrated experience migrating virtual machines, applications, or infrastructure workloads from on-premises environments to public cloud platforms. Hands-on experience with at least one major cloud provider, preferably Microsoft Azure or AWS. Proficiency with scripting languages such as Python, PowerShell, or Bash. Understanding of cloud networking, identity and access management, security, storage, and infrastructure monitoring. Experience supporting hybrid infrastructure environments and enterprise cloud adoption initiatives. Strong troubleshooting, analytical, documentation, and cross-functional communication skills. Preferred Qualifications: Experience with Microsoft Azure, including Azure Virtual Machines, Azure Migrate, Azure DevOps, and Azure infrastructure services. Experience with AWS and/or multicloud environments. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Experience with GitHub Actions, GitLab CI/CD, or Azure DevOps Pipelines. Understanding of cloud migration frameworks, landing zones, and infrastructure modernization strategies. Experience utilizing AI-assisted coding, infrastructure automation, AIOps, or intelligent monitoring technologies. Familiarity with cloud security, governance, and compliance frameworks. Relevant certifications such as HashiCorp Terraform Associate, Microsoft Azure Administrator, Azure DevOps Engineer Expert, or AWS certifications. Ideal Candidate Profile: The successful candidate will be a hands-on engineer who is equally comfortable working within traditional VMware infrastructure and modern cloud environments. This individual should be capable of building scalable automation frameworks, contributing directly to enterprise cloud migration efforts, and enabling new cloud-based solutions. The position requires someone who can execute technical work independently while collaborating closely with internal teams to accelerate cloud adoption and infrastructure modernization. Work Location Requirement: This position requires working onsite in Reston, Virginia, five days per week. Work Authorization: U.S. Citizen or Green Card

Job Description Senior Software Engineer AI / Identity NYC or San Francisco $150K-$200K + Equity Exciting opportunity to join an early-stage AI company building cutting-edge technology to combat deepfakes, synthetic identities and online fraud. They're developing a next-generation verification platform combining AI, biometrics, palm recognition and liveness detection to establish trust across digital interactions. The role: Own core services end-to-end, from architecture through to production. Drive technical decisions across architecture, APIs and data models. Build and scale backend services and frontend experiences. Take products from 0-1, working closely with engineering leadership. Set engineering standards and review AI-generated code. What they're looking for: 5-9 years' software engineering experience. Track record building products from 0-1 at a Seed-Series B startup. Strong Go (or comparable backend language). TypeScript and React experience. Excellent API design and data modelling skills. Strong technical ownership and decision-making. Tech: Go, TypeScript, React, Next.js, Kubernetes, Kafka, Redis, PostgreSQL, gRPC, Claude Code, Codex and Cursor. Location: NYC or San Francisco (US working hours). Salary: $150K-$200K + competitive equity. Visa: No sponsorship available. Existing US work authorisation required. Interested? Please apply!

Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details

Job Description Senior Software Engineer Only W2 Location -Westlake Texas Or Covington Kentucky 5-7 years of exp in Python, API Skills, experience using Jenkins for CI/CD, containerization skills in Kubernetes, and AWS services exp. The Role Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components. Apply object-oriented programming, modular architecture, design patterns, and clean-code principles to create maintainable, extensible, and scalable software. Demonstrate advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts. Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity. Design, configure, deploy, and support containerized applications on Kubernetes in AWS, Azure, or comparable public-cloud environments. Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates to automate cloud and platform infrastructure. Build and maintain CI/CD workflows using technologies such as GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, deployment, and release automation. Nice to have: Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts is beneficial. AWS or Azure cloud certification is a plus.

Job Description Intellibus Consulting is a boutique engineering and AI transformation firm that builds mission-critical platforms for global financial institutions. We operate at the intersection of engineering excellence, business outcomes, and executive-level delivery. At Intellibus, our leaders are hands-on builders who understand technology deeply, engage confidently with senior executives, and take ownership of client success. We believe successful technology transformation requires leaders who can connect business strategy, architecture, engineering, and execution Job Description We are looking for exceptional Forward Deployed Engineers with deep hands-on software engineering expertise, particularly in Java, backend engineering, full-stack development, microservices, and distributed systems. This is a highly technical, client-facing engineering role that requires someone who can move seamlessly between architecture, software development, solution delivery, and executive-level client engagement. You will work directly with client engineering teams, technology leaders, and business stakeholders to understand complex challenges, design technical solutions, and lead the development and implementation of enterprise-grade platforms. Beyond engineering delivery, you will play an important role in expanding strategic client relationships by identifying technology opportunities, recommending solutions, demonstrating technical capabilities, and helping grow existing accounts. We are specifically looking for engineers who have worked in technology consulting or professional services environments and are comfortable taking ownership of both technical delivery and client relationships. Key Responsibilities Hands-on Software Engineering & Architecture Design, develop, and deliver scalable enterprise applications using Java and modern software engineering technologies. Demonstrate deep hands-on expertise in Java, Spring Boot, Spring Framework, REST APIs, and backend application development. Build complex microservices-based architectures, distributed systems, and event-driven applications. Develop full-stack solutions with strong backend capabilities and practical frontend development experience. Work across the entire software development lifecycle, from architecture and design through coding, testing, deployment, and production support. Lead technical implementation while remaining actively involved in writing and reviewing code. Develop reusable components, APIs, integrations, and enterprise application frameworks. Troubleshoot performance bottlenecks, scalability challenges, concurrency issues, and complex production defects. Backend, Frontend & Full-Stack Development Build backend services using Java, Spring Boot, Hibernate, JPA, and related technologies. Design and implement RESTful APIs, microservices, and enterprise integrations. Develop frontend applications using React, JavaScript, TypeScript, HTML, and CSS. Integrate frontend applications with backend services and enterprise platforms. Work with relational and NoSQL databases, including PostgreSQL, Oracle, MongoDB, or similar technologies. Implement authentication, authorization, security, and API integration patterns. Ensure application performance, maintainability, reliability, and scalability. Microservices & Cloud-Native Engineering Design and implement microservices architectures and distributed application platforms. Work with messaging and event-streaming technologies such as Apache Kafka. Build asynchronous processing, event-driven integrations, and resilient distributed services. Apply design patterns for service discovery, fault tolerance, circuit breakers, and distributed transactions. Deploy and operate applications on AWS, Azure, or GCP. Work with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Apply observability practices using logging, monitoring, tracing, and performance management tools. Understand cloud-native architecture, scalability, availability, and system reliability. AI & Agentic Engineering Explore and implement AI-powered enterprise applications and intelligent workflows. Integrate LLMs and AI capabilities into existing enterprise applications and platforms. Develop AI agents, tool-calling workflows, and agent orchestration capabilities. Work with retrieval-augmented generation (RAG), vector databases, and enterprise data integrations. Identify opportunities to apply AI and automation to solve client business and technology challenges. Build practical prototypes and take successful AI solutions through production implementation. Client Consulting & Strategic Account Growth Work directly with client CTOs, CIOs, engineering leaders, architects, and business stakeholders. Understand client technology environments, business priorities, and strategic challenges. Translate business problems into technical solutions and actionable engineering roadmaps. Lead technical discovery sessions, architecture discussions, solution demonstrations, and client workshops. Identify opportunities for platform modernization, application development, cloud transformation, and AI adoption. Help expand existing client engagements by identifying new projects, engineering opportunities, and areas where Intellibus can add value. Build trusted relationships with client stakeholders and contribute to long-term account growth. Prepare technical proposals, solution presentations, architecture diagrams, and executive-level materials. Collaborate with leadership and account teams to shape new opportunities and support business development. Required Technical Expertise Java & Backend Engineering Extensive hands-on experience with Java and Spring Boot. Strong understanding of OOP, multithreading, concurrency, collections, JVM fundamentals, and performance optimization. Experience with REST APIs, Hibernate, JPA, and enterprise application development. Strong knowledge of backend architecture and enterprise integration patterns. Full-Stack Development Experience building frontend applications using React, JavaScript, and TypeScript. Ability to independently work across backend and frontend components. Strong understanding of API integration and application architecture. Microservices & Distributed Systems Deep experience designing and implementing microservices architectures. Strong knowledge of Kafka, event-driven systems, messaging, and distributed computing. Understanding of scalability, resiliency, fault tolerance, and high-availability architecture. Cloud & DevOps Experience with AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, CI/CD, and cloud-native deployments. Familiarity with Terraform or other infrastructure-as-code tools is preferred. AI & Modern Engineering Exposure to LLM integrations, generative AI, AI agents, and agentic workflows. Experience integrating AI capabilities into enterprise software is highly desirable. Required Consulting & Client Engagement Experience Previous experience working for a technology consulting firm, systems integrator, or professional services organization is mandatory. Demonstrated experience delivering technology solutions for external enterprise clients. Ability to manage multiple technical stakeholders and work across different client environments. Strong executive communication and presentation skills. Ability to identify additional technology opportunities and contribute to account expansion. Comfortable operating in fast-paced consulting environments where priorities and client requirements can evolve. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. Significant professional software engineering experience, ideally 8+ years. Extensive hands-on Java and backend engineering experience. Proven experience building enterprise-grade microservices and distributed systems. Full-stack development experience with modern frontend frameworks. Previous consulting or professional services experience is mandatory. Experience working in financial services, banking, fintech, or other regulated industries is strongly preferred. What Success Looks Like You can independently design, code, and deliver complex enterprise applications. You bring deep technical expertise in Java, backend engineering, full-stack development, and microservices. You can engage with client engineering teams and senior executives with equal confidence. You identify opportunities to solve broader client challenges beyond the immediate assignment. You help strengthen client relationships and contribute to expanding strategic accounts. You take ownership of solutions from initial discovery through architecture, implementation, and production deployment. Who Should Apply? We are looking for engineers who are not limited to writing code against predefined requirements. . click apply for full job details

Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.