Engineering Jobs in Ocoee Florida Online

This position requires candidates to reside in the Eastern or Central time zones. 5+ years HCM SaaS or HCM professional services sales (enterprise or mid-market) and Dayforce new logo and/or client base SI sales preferred.

The Sales Executive – US Dayforce is accountable for driving revenue growth across an assigned U.S. territory, with emphasis on new-logo acquisition and expansion within the existing customer base through adoption, optimization, and sustained value realization. This role partners closely with Dayforce Account Executives, Customer Success Managers, Field Alliance Directors, and Client Partners to identify, pursue, and close net-new and expansion opportunities. As a core contributor to the Dayforce partner motion, the Sales Executive strengthens strategic relationships, deepens client engagement, and accelerates demand through trusted advisory positioning. The role is central to building a repeatable growth engine that increases client lifetime value, drives reference ability, and expands the partner referral ecosystem over the long term.

The ideal candidate has a proven track record selling Dayforce software and services and direct experience with solution implementation and delivery. Industry and domain expertise are required, along with the ability to provide thought leadership and build trusted, consultative relationships with clients and partners.

Key Responsibilities

• Partner with Dayforce customer-base sales AEs to accelerate expansion within existing accounts through joint account planning, customer success validation, and value-based benchmarks and metrics.
• Proactively establish relationships with Dayforce new-logo sales AEs to co-sell, jointly pursue opportunities, and position PayTech services early in the sales cycle.
• Drive expansion of PayTech’s services within assigned and named accounts, aligning solutions to client needs and executing disciplined cross-sell and upsell strategies.
• Collaborate with Partner Alliance and sales leadership on high-visibility deals, strategic initiatives, and sponsorship opportunities.
• Develop and deliver tailored client presentations, thought leadership, and service overviews aligned to business outcomes.
• Build and maintain senior, trust-based relationships with client stakeholders, serving as an advisor on industry trends, best practices, and solution delivery.
• Partner with PayTech leadership and delivery teams to support successful implementations and sustained client satisfaction.
• Work with pre-sales, delivery, and consulting teams to validate scope, timelines, and service alignment prior to proposal submission.
• Maintain disciplined opportunity management, including pipeline accuracy, forecasting, and deal documentation.
• Apply industry and domain expertise to tailor solutions and clearly articulate value in client engagements.
• Proactively schedule and lead client meetings, presentations, and value-add discussions to generate and advance opportunities.
• Represent PayTech at industry events, trade associations, and professional forums to strengthen brand presence and relationships.
• Maintain current knowledge of Dayforce and PayTech solutions, competitive offerings, and market trends.
• Support the development and execution of annual sales plans and territory strategies.

Qualifications

• Minimum five years of sales experience in HCM, SaaS, or professional services, with a focus on existing customer base expansion.
• Demonstrated success in selling both software and solution implementation/delivery, particularly within the Dayforce ecosystem.
• Strong industry or domain-specific knowledge and the ability to provide thought leadership in client engagements.
• Excellent relationship-building, communication, and presentation skills.
• Experience with opportunity development, pipeline management, and deal hygiene best practices.
• Proficiency with Salesforce and other CRM tools.
• Bachelor’s degree in Business, Marketing, or related field preferred.
• Willingness to travel as required.

Who we are:

EWI are the World’s leading renewable energy and infrastructure recruitment specialists with operations across the US Europe & Asia. We partner with our blue-chip organisations in securing top engineering talent that are building the America of tomorrow. Due to our continued growth and success EWI are seeking driven and proactive graduates to join our sales recruitment team in Downtown Orlando.

We find talent for our clients that are building Data Centres, Solar & Wind Farms and Critical Infrastructure including Water Networks, Highways and Bridges

The role of a Head-hunter is to find top talent for our clients by building a network of professionals in our specialist areas

• Identifying and developing client/business relationships
• Attracting talent and maintaining a candidate database
• Assessing and responding to the needs of each client or assignment
• Sourcing suitable candidates and briefing them on the opportunities offered by the client
• Managing the process through the interview to offer stage and beyond
• Sales and KPI driven not HR related

About you:

• A recruiter should be passionate about people and have the ability to engage potential candidates and clients over the telephone and in person, a successful recruiter will hold themselves with high regard and work with honesty and integrity to the best possible standard.
• A recruiter will have sales background or a genuine interest in a sales and target driven environment with a work ethic that goes above and beyond to do whatever it takes to meet targets all whist maintaining high standards and integrity.
• Minimum 1 Years sales experience or recruitment experience required

Compensation & Benefits

· Competitive basic salary plus uncapped commission earnings (Year 1 potential $80k+, Year 2 $100K+)

· Commission: Uncapped, with high earning potential tied to client wins. Starting at 22.5% and raising to 50% at the Top end)

· Hybrid Flexibility: Monday-Thursday in office & Friday Work Home

· Comprehensive Benefits:

· Health, Dental & Vision Insurance

· Paid Time Off

· Career coaching, sales training, and mentorship

Career training and professional development with a set promotion criteria all the way up to VP Level

EWI - Your future builds ours

Program Manager – Manufacturing Operations

Location: Onsite (Manufacturing Facility)

Employment Type: Full-Time | Exempt

Schedule: 40 hours/week (9/80 schedule or as required by production demands)

Reports To: VP of Operations

Position Overview

Engenium is seeking a Program Manager to support a defense-focused manufacturing environment. This role supports the delivery performance, schedule execution, and supplier coordination across assigned programs. The Program Manager works closely with Manufacturing, Procurement, Engineering, and Quality teams to ensure products are delivered on time, to specification, and in compliance with contractual requirements.

This is a hands-on, execution-focused role. While the Program Manager does not manage direct reports, they are expected to be physically present on the production floor frequently, and multiple times per day during critical month-end or delivery periods.

Key Responsibilities

• Support cost, schedule, and delivery performance for assigned manufacturing programs
• Serve as the primary liaison between internal teams and external customers
• Work closely with Procurement and Buyers to resolve supplier delays, material shortages, and production bottlenecks
• Track and manage program schedules, identifying risks and escalating issues as needed
• Collaborate daily with the Director of Manufacturing / Production to support shop-floor execution
• Monitor contractual requirements for assemblies and subassemblies to ensure compliance
• Prepare and present weekly and monthly program status reports, metrics, and recovery plans
• Use advanced Excel skills to analyze schedules, material flow, supplier performance, and delivery risk
• Support ERP transaction integrity across planning, procurement, production, engineering, quality, and finance
• Escalate program risks through the VP of Operations when cross-functional alignment is required
• Maintain strong working relationships with suppliers and internal stakeholders
• Support continuous execution consistency (this role focuses on maintaining execution, not driving organizational change)

Required Qualifications

• Bachelor’s degree in a related discipline
• 5+ years of experience in Program Management within a manufacturing or production environment
• Strong understanding of manufacturing workflows, material flow, and supplier coordination
• Expert-level Microsoft Excel proficiency (advanced formulas, data analysis, reporting)
• Experience working with ERP systems in a manufacturing setting
• Excellent communication and stakeholder management skills
• Ability to work effectively with executive leadership and escalate issues appropriately
• U.S. Citizenship required; ability to obtain and maintain a security clearance

Preferred Qualifications

• Defense or aerospace manufacturing experience
• PMP certification (a plus)
• Familiarity with FAR / DFARS environments
• Experience supporting defense manufacturing programs

Work Environment & Benefits

• Work performed in an office environment within a production facility
• Full benefits package including medical, dental, short-term and long-term disability, life insurance, 401(k), paid holidays, and vacation
• Reasonable accommodations available in accordance with applicable laws

Why Join Us?

Engenium is proud to be an equal opportunity employer. We welcome all applicants and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

Company: Barton Malow Builders

Job Location: Orlando, Florida

Position: Construction Sr. Project Manager – Higher Education

REQ ID:

OVERVIEW

Barton Malow is expanding its presence in the Greater Orlando region and is seeking a seasoned Senior Project Manager with a passion for shaping the future of higher education. This leader will guide complex campus projects from early preconstruction strategy through final closeout, ensuring each facility supports the evolving needs of students, faculty, and research communities. With a strong pipeline of university work, including academic buildings, research facilities, residence halls, athletic complexes, and student-life spaces, this role offers the opportunity to influence the next generation of learning environments across Central Florida.

As a Senior Project Manager, you’ll serve as the driving force behind project planning, procurement, field execution, cost management, and team leadership. You’ll set the tone for safety and quality on site, build strong relationships with owners and design partners, and mentor project teams while navigating the unique demands of higher education construction. This is a chance to join a collaborative, forward‑thinking team that delivers innovative campus solutions and is trusted by colleges and universities nationwide.

Please note, this position will need to be flexible with project locations within the Greater Orlando region, but initial project placement may be in the Daytona Beach area.

KEY JOB RESPONSIBILITIES:

Procurement

• Develop bidders list, including ability to analyze information in CPS and be aware of local market capabilities
• Develop overall bidding strategy for project
• Manage distribution of bidding documents and tracking of bidders, including solicitation of bidders and management of data within CPS
• Organize and conduct pre-bid meetings
• Manage bidder question process
• Manage development of work scopes and mentor others on their creation
• Develop front end documents for bidding based on project needs and requirements of owner contract
• Receive/evaluate bids and conduct post-bid reviews
• Write subcontracts, both standard subcontract orders and more complex types such as professional services or design-assist

Planning

• Initiate setup of a complex project schedule and creation of activities and logic, with no/little assistance on durations and schedule flow.
• Develop site logistics plans in conjunction with superintendent
• Set up a multi-element cash flow and manpower projection analysis at varying stages of the project
• Prepare constructability reviews to determine completeness of documents
• Review estimates prepared by preconstruction group for potential scope holes
• Initiate set up of jobsite, including mobilization of trailer and setup of jobsite staff

Field Operations

• Establish and oversee the safety plan at the jobsite; set safety culture at jobsite
• Ensure punchlist process is completed in a timely manner
• Assist with management of labor relations with field personnel, including interactions with unions
• Implement emergency crisis procedures and ensure staff is appropriately trained
• Manage owner equipment coordination process
• Facilitate Mechanical/Electrical overhead coordination or BIM process

Cost Management

• Create and manage general conditions budget. Monitor and update projections monthly
• Establish non-reimbursables based on interpretation of contract; work to minimize their usage
• Set up trade budget structure and log into Prolog
• Review budget entries of others and evaluate reports for accuracy
• Regularly monitor project costs and effectiveness of change management process
• Oversee creation of cost items in prolog and issuance to contractors
• Assist with processing changes to owner agreement
• Support job-site cash management, including monitoring of job profitability and timeliness of payment

Management

• Facilitate meetings with the project team
• Supervise and mentor project, jobsite staff
• Ensure RFIs and submittals are being appropriately processed by the engineering staff
• Ensure office procedures are implemented, including filing system, correspondence formats, start-up documents, closeout documents, and archiving
• Manage ultimate agency acceptance of the project, including serving as an interface to code officials
• Involvement in seeking repeat and new business sales
• Assist with response to RFPs and preparation of presentations for new projects
• Manage job relations and communication needs with the Architect/Engineer

REQUIRED KNOWLEDGE, EDUCATION, EXPERIENCE, SKILLS, AND ABILITIES:

• Bachelor’s degree in civil engineering, Construction Management or a related discipline
• 8 + years’ experience in GC/CM Construction Management
• Healthcare construction experience preferred
• Strong verbal and written communication skills

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

PI7087748e2d7e-3631

*Securian Financial Groups internal position title isInfrastructure Consultant.

Position Summary:

We are looking for an AWS Dev OpsEngineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements.

Responsibilities include but not limited to:

• Champion the selection of Data and Analytics platforms and tools to be used across the enterprise.
• Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions.
• Onboard new platforms and tools to ensure solutions are adopted effectively across the organization.
• Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs.
• Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking.
• Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads.
• Implement monitoring, logging, and alerting solutions using tools like CloudWatch.
• Participate in CI/CD pipeline development and deployment automation.
• Ensure infrastructure security through proper IAM policies, encryption, and network configurations.
• Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance.
• Document infrastructure processes and configurations for operational transparency and team knowledge sharing.
• Ability to work with ambiguity and organize requirements to identify options.
• Ability to build productive relationships and collaborate with partners and stakeholders.
• Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations.

Qualifications:

• 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
• Experience working with structured and unstructured data and data storage technology RDS Postgres, S3
• Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK).
• Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
• Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker).
• Basic scripting skills in Python, Bash, or PowerShell.
• Understanding of cloud networking, security, and cost optimization principles.
• Strong communication and collaboration skills.

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer).
• Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets
• Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres
• Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC)
• Master Data Management: Reltio MDM for authoritative data domains
• AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management
• Experience working in agile or cross-functional teams.

#LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. Ifyou'reina commutable distance (90 minutes)you'lljoin us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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